Abhinav Shrivastava

260 papers A* 65A 19B 1Journal 140Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	All-in-One Conditioning for Text-to-Image Synthesis. CoRR Hirunima Jayasekara, Chuong Huynh, Yixuan Ren, Christabel Acquaye, Abhinav Shrivastava
2026	J	`jnl`	Efficient and High-Fidelity Omni Modality Retrieval. CoRR Chuong Huynh, Manh Luong, Abhinav Shrivastava
2026	J	`jnl`	Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory. CoRR Vatsal Agarwal, Saksham Suri, Matthew Gwilliam, Pulkit Kumar, Abhinav Shrivastava
2026	J	`jnl`	MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos. CoRR Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping
2026	J	`jnl`	Scale Space Diffusion. CoRR Soumik Mukhopadhyay, Prateksha Udhayanan, Abhinav Shrivastava
2026	J	`jnl`	TeCoNeRV: Leveraging Temporal Coherence for Compressible Neural Representations for Videos. CoRR Namitha Padmanabhan, Matthew Gwilliam, Abhinav Shrivastava
2026	J	`jnl`	Towards Understanding Best Practices for Quantization of Vision-Language Models. CoRR Gautom Das, Vincent La, Ethan Lau, Abhinav Shrivastava, Matthew Gwilliam
2026	J	`jnl`	UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders. CoRR Matthew Walmer, Saksham Suri, Anirud Aggarwal, Abhinav Shrivastava
2025	A	`conf`	A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. WACV Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2025	J	`jnl`	Accelerate High-Quality Diffusion Models with Inner Loop Feedback. CoRR Matthew Gwilliam, Han Cai, Di Wu, Abhinav Shrivastava, Zhiyu Cheng
2025	J	`jnl`	Characterizing Motion Encoding in Video Diffusion Timesteps. CoRR Vatsal Baherwani, Yixuan Ren, Abhinav Shrivastava
2025	A*	`conf`	CoLLM: A Large Language Model for Composed Image Retrieval. CVPR Chuong Huynh, Jinyu Yang, Ashish Tawari, Mubarak Shah, Son Tran, Raffay Hamid, Trishul Chilimbi, Abhinav Shrivastava
2025	J	`jnl`	CoLLM: A Large Language Model for Composed Image Retrieval. CoRR Chuong Huynh, Jinyu Yang, Ashish Tawari, Mubarak Shah, Son Tran, Raffay Hamid, Trishul Chilimbi, Abhinav Shrivastava
2025	J	`jnl`	Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model. CoRR Anirud Aggarwal, Abhinav Shrivastava, Matthew Gwilliam
2025	J	`jnl`	Growing Visual Generative Capacity for Pre-Trained MLLMs. CoRR Hanyu Wang, Jiaming Han, Ziyan Yang, Qi Zhao, Shanchuan Lin, Xiangyu Yue, Abhinav Shrivastava, Zhenheng Yang, Hao Chen
2025	J	`jnl`	How to Design and Train Your Implicit Neural Representation for Video Compression. CoRR Matthew Gwilliam, Roy Zhang, Namitha Padmanabhan, Hongyang Du, Abhinav Shrivastava
2025	J	`jnl`	Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models. CoRR Seungjae Lee, Daniel Ekpo, Haowen Liu, Furong Huang, Abhinav Shrivastava, Jia-Bin Huang
2025	A*	`conf`	LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior. ICLR Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava
2025	J	`jnl`	Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation. CoRR Trevine Oorloff, Yaser Yacoob, Abhinav Shrivastava
2025	—	`conf`	Multi-entity Video Transformers for Fine-Grained Video Representation Learning. CVPR Workshops Matthew Walmer, Rose Catherine Kanjirathinkal, Kai Sheng Tai, Keyur Muzumdar, Tai-Peng Tian, Abhinav Shrivastava
2025	J	`jnl`	NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis. CoRR Yixuan Ren, Hanyu Wang, Hao Chen, Bo He, Abhinav Shrivastava
2025	J	`jnl`	SIEDD: Shared-Implicit Encoder with Discrete Decoders. CoRR Vikram Rangarajan, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2025	A*	`conf`	TREND: Tri-Teaching for Robust Preference-based Reinforcement Learning with Demonstrations. ICRA Shuaiyi Huang, Mara Levy, Anubhav Gupta, Daniel Ekpo, Ruijie Zheng, Abhinav Shrivastava
2025	J	`jnl`	TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations. CoRR Shuaiyi Huang, Mara Levy, Anubhav Gupta, Daniel Ekpo, Ruijie Zheng, Abhinav Shrivastava
2025	J	`jnl`	Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor. CoRR Vatsal Agarwal, Matthew Gwilliam, Gefen Kohavi, Eshan Verma, Daniel Ulbricht, Abhinav Shrivastava
2025	J	`jnl`	Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition. CoRR Pulkit Kumar, Shuaiyi Huang, Matthew Walmer, Sai Saketh Rambhatla, Abhinav Shrivastava
2025	A	`conf`	Unified Framework for Open-World Compositional Zero-Shot Learning. WACV Hirunima Jayasekara, Khoi Pham, Nirat Saini, Abhinav Shrivastava
2025	J	`jnl`	Utilization of Neighbor Information for Image Classification with Different Levels of Supervision. CoRR Gihan Jayatilaka, Abhinav Shrivastava, Matthew Gwilliam
2024	A	`conf`	ARDuP: Active Region Video Diffusion for Universal Policies. IROS Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava
2024	J	`jnl`	ARDuP: Active Region Video Diffusion for Universal Policies. CoRR Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava
2024	J	`jnl`	AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. CoRR Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, Dinesh Manocha
2024	—	`conf`	AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. EMNLP (Findings) Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha
2024	A*	`conf`	Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning. CVPR Nirat Saini, Khoi Pham, Abhinav Shrivastava
2024	J	`jnl`	Challenges, evaluation and opportunities for open-world learning. Nat. Mac. Intell. Mayank Kejriwal, Eric J. Kildebeck, Robert J. Steininger, Abhinav Shrivastava
2024	—	`conf`	Coarse-to-Fine Human Mesh Recovery with Transformers. ECCV Workshops (13) Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava
2024	A*	`conf`	Composing Object Relations and Attributes for Image-Text Matching. CVPR Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava
2024	J	`jnl`	Composing Object Relations and Attributes for Image-Text Matching. CoRR Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava
2024	A	`conf`	Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks. WACV Yixuan Ren, Jing Shi, Zhifei Zhang, Yifei Fan, Zhe Lin, Bo He, Abhinav Shrivastava
2024	J	`jnl`	Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction. CoRR Gaurav Shrivastava, Abhinav Shrivastava
2024	—	`conf`	Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. ECCV (89) Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
2024	J	`jnl`	Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. CoRR Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
2024	A	`conf`	Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. WACV Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava
2024	—	`conf`	Do Text-Free Diffusion Models Learn Discriminative Visual Representations? ECCV (60) Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava
2024	—	`conf`	EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. ECCV (63) Sharath Girish, Kamal Gupta, Abhinav Shrivastava
2024	J	`jnl`	Efficient Continuous Video Flow Model for Video Prediction. CoRR Gaurav Shrivastava, Abhinav Shrivastava
2024	A*	`conf`	Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions. CVPR Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024	J	`jnl`	Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions. CoRR Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024	—	`conf`	Fast Encoding and Decoding for Implicit Video Representation. ECCV (39) Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava
2024	J	`jnl`	Fast Encoding and Decoding for Implicit Video Representation. CoRR Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava
2024	A	`conf`	GRIT: GAN Residuals for Paired Image-to-Image Translation. WACV Saksham Suri, Moustafa Meshry, Larry S. Davis, Abhinav Shrivastava
2024	J	`jnl`	InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. CoRR Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang, Abhinav Shrivastava, Bharat Singh
2024	—	`conf`	Investigating Style Similarity in Diffusion Models. ECCV (66) Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein
2024	J	`jnl`	LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior. CoRR Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava
2024	—	`conf`	LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation. ECCV (16) Archana Swaminathan, Anubhav Gupta, Kamal Gupta, Shishira R. Maiya, Vatsal Agarwal, Abhinav Shrivastava
2024	J	`jnl`	LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation. CoRR Archana Swaminathan, Anubhav Gupta, Kamal Gupta, Shishira R. Maiya, Vatsal Agarwal, Abhinav Shrivastava
2024	—	`conf`	Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. ECCV (15) Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024	J	`jnl`	Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. CoRR Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024	A	`conf`	Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
2024	—	`conf`	LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. ECCV (7) Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava
2024	J	`jnl`	LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. CoRR Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava
2024	A*	`conf`	MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CVPR Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
2024	J	`jnl`	MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CoRR Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
2024	A*	`conf`	MaGGIe: Masked Guided Gradual Human Instance Matting. CVPR Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee
2024	J	`jnl`	MaGGIe: Masked Guided Gradual Human Instance Matting. CoRR Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee
2024	J	`jnl`	Measuring Style Similarity in Diffusion Models. CoRR Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein
2024	A	`conf`	Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. WACV Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava
2024	J	`jnl`	NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields. CoRR Eric Zhu, Mara Levy, Matthew Gwilliam, Abhinav Shrivastava
2024	—	`conf`	Operationalising Analytics Through Resource Orchestration - An Empirical Examination. ECIS Abhinav Shrivastava, Humza Naseer, Stuart Black, Yee Ling Boo, Booi Kam, Kok-Leong Ong
2024	A*	`conf`	QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos. NeurIPS Sharath Girish, Tianye Li, Amrita Mazumdar, Abhinav Shrivastava, David Luebke, Shalini De Mello
2024	J	`jnl`	QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos. CoRR Sharath Girish, Tianye Li, Amrita Mazumdar, Abhinav Shrivastava, David Luebke, Shalini De Mello
2024	—	`conf`	Quantifying NBA Shot Quality: A Deep Network Approach. MMSports@MM Archit Ramanasai Kambhamettu, Abhinav Shrivastava, Matthew Gwilliam
2024	—	`conf`	Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition. ECCV (36) Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava
2024	J	`jnl`	Trajectory-aligned Space-time Tokens for Few-shot Action Recognition. CoRR Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava
2024	—	`conf`	Transforming Resources to Operationalize Analytics: An Empirical Investigation. ACIS Abhinav Shrivastava, Humza Naseer, Stuart Black, Booi Kam, Yee Ling Boo, Kok-Leong Ong
2024	—	`conf`	UVIS: Unsupervised Video Instance Segmentation. CVPR Workshops Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava
2024	J	`jnl`	UVIS: Unsupervised Video Instance Segmentation. CoRR Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava
2024	J	`jnl`	Unified Framework for Open-World Compositional Zero-shot Learning. CoRR Hirunima Jayasekara, Khoi Pham, Nirat Saini, Abhinav Shrivastava
2024	—	`conf`	V-VIPE: Variational View Invariant Pose Embedding. CVPR Workshops Mara Levy, Abhinav Shrivastava
2024	J	`jnl`	V-VIPE: Variational View Invariant Pose Embedding. CoRR Mara Levy, Abhinav Shrivastava
2024	J	`jnl`	VeriGraph: Scene Graphs for Execution Verifiable Robot Planning. CoRR Daniel Ekpo, Mara Levy, Saksham Suri, Chuong Huynh, Abhinav Shrivastava
2024	J	`jnl`	Video Decomposition Prior: A Methodology to Decompose Videos into Layers. CoRR Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
2024	A*	`conf`	Video Decomposition Prior: Editing Videos Layer by Layer. ICLR Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
2024	A*	`conf`	Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes. CVPR Gaurav Shrivastava, Abhinav Shrivastava
2024	A*	`conf`	WayEx: Waypoint Exploration using a Single Demonstration. ICRA Mara Levy, Nirat Saini, Abhinav Shrivastava
2024	J	`jnl`	WayEx: Waypoint Exploration using a Single Demonstration. CoRR Mara Levy, Nirat Saini, Abhinav Shrivastava
2024	—	`conf`	What is Point Supervision Worth in Video Instance Segmentation? CVPR Workshops Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
2024	J	`jnl`	What is Point Supervision Worth in Video Instance Segmentation? CoRR Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
2023	J	`jnl`	A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2023	A*	`conf`	ASIC: Aligning Sparse in-the-wild Image Collections. ICCV Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
2023	J	`jnl`	ASIC: Aligning Sparse in-the-wild Image Collections. CoRR Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
2023	A*	`conf`	Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CVPR Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang
2023	J	`jnl`	Align and Attend: Multimodal Summarization with Dual Contrastive Losses. CoRR Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang
2023	A*	`conf`	BT ICCV Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
2023	A	`conf`	COVID-VTS: Fact Extraction and Verification on Short Video Platforms. EACL Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
2023	J	`jnl`	COVID-VTS: Fact Extraction and Verification on Short Video Platforms. CoRR Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava
2023	A*	`conf`	Chop & Learn: Recognizing and Generating Object-State Compositions. ICCV Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava
2023	J	`jnl`	Chop & Learn: Recognizing and Generating Object-State Compositions. CoRR Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava
2023	J	`jnl`	Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. CoRR Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava
2023	J	`jnl`	Diffusion Models Beat GANs on Image Classification. CoRR Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Srinidhi Hegde, Tianyi Zhou, Abhinav Shrivastava
2023	J	`jnl`	Do text-free diffusion models learn discriminative visual representations? CoRR Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Abhinav Shrivastava
2023	J	`jnl`	EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. CoRR Sharath Girish, Kamal Gupta, Abhinav Shrivastava
2023	A*	`conf`	FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CVPR Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis
2023	J	`jnl`	FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CoRR Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis
2023	J	`jnl`	Gen2Det: Generate to Detect. CoRR Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava
2023	A*	`conf`	HNeRV: A Hybrid Neural Representation for Videos. CVPR Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2023	J	`jnl`	HNeRV: A Hybrid Neural Representation for Videos. CoRR Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2023	J	`jnl`	Leveraging Hand-Object Interactions in Assistive Egocentric Vision. IEEE Trans. Pattern Anal. Mach. Intell. Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
2023	A*	`conf`	LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. ICLR Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2023	A*	`conf`	MOST: Multiple Object localization with Self-supervised Transformers for object discovery. ICCV Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava
2023	J	`jnl`	MOST: Multiple Object localization with Self-supervised Transformers for object discovery. CoRR Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava
2023	J	`jnl`	Multi-entity Video Transformers for Fine-Grained Video Representation Learning. CoRR Matthew Walmer, Rose Catherine Kanjirathinkal, Kai Sheng Tai, Keyur Muzumdar, Tai-Peng Tian, Abhinav Shrivastava
2023	J	`jnl`	Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. CoRR Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava
2023	A*	`conf`	NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. CVPR Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
2023	—	`conf`	Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility. ECIS Abhinav Shrivastava, Humza Naseer, Booi Kam, Yee Ling Boo, Kok-Leong Ong
2023	A*	`conf`	SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. ICCV Sharath Girish, Abhinav Shrivastava, Kamal Gupta
2023	J	`jnl`	SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. CoRR Sharath Girish, Abhinav Shrivastava, Kamal Gupta
2023	A*	`conf`	SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. CVPR Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava
2023	J	`jnl`	SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. CoRR Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava
2023	A*	`conf`	SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. ICCV Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
2023	A*	`conf`	Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CVPR Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava
2023	A*	`conf`	Towards Scalable Neural Representation for Diverse Videos. CVPR Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2023	J	`jnl`	Towards Scalable Neural Representation for Diverse Videos. CoRR Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2023	A	`conf`	Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. BMVC Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
2023	A*	`conf`	Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. NeurIPS Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava
2023	J	`jnl`	Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. CoRR Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
2022	A*	`conf`	ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. CVPR Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava
2022	J	`jnl`	ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. CoRR Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava
2022	J	`jnl`	BT CoRR Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
2022	A*	`conf`	Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CVPR Matthew Gwilliam, Abhinav Shrivastava
2022	J	`jnl`	Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. CoRR Matthew Gwilliam, Abhinav Shrivastava
2022	—	`conf`	Burn After Reading: Online Adaptation for Cross-domain Streaming Data. ECCV (33) Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah
2022	A	`conf`	CNeRV: Content-adaptive Neural Representation for Visual Data. BMVC Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2022	J	`jnl`	CNeRV: Content-adaptive Neural Representation for Visual Data. CoRR Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2022	A*	`conf`	Disentangling Visual Embeddings for Attributes and Objects. CVPR Nirat Saini, Khoi Pham, Abhinav Shrivastava
2022	J	`jnl`	Disentangling Visual Embeddings for Attributes and Objects. CoRR Nirat Saini, Khoi Pham, Abhinav Shrivastava
2022	A*	`conf`	Dual-Key Multimodal Backdoors for Visual Question Answering. CVPR Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha
2022	—	`conf`	Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. ECCV (25) Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
2022	—	`conf`	Learning Semantic Correspondence with Sparse Annotations. ECCV (14) Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
2022	J	`jnl`	Learning Semantic Correspondence with Sparse Annotations. CoRR Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
2022	A	`conf`	Learning visual representations for transfer learning by suppressing texture. BMVC Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
2022	J	`jnl`	Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
2022	J	`jnl`	LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. CoRR Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2022	J	`jnl`	NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling. CoRR Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
2022	—	`conf`	Neural Space-Filling Curves. ECCV (7) Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava
2022	J	`jnl`	Neural Space-filling Curves. CoRR Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava
2022	A*	`conf`	ObjectFormer for Image Manipulation Detection and Localization. CVPR Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
2022	J	`jnl`	ObjectFormer for Image Manipulation Detection and Localization. CoRR Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
2022	J	`jnl`	Occupancy Map Prediction for Improved Indoor Robot Navigation. CoRR Vishnu Dutt Sharma, Jingxi Chen, Abhinav Shrivastava, Pratap Tokekar
2022	J	`jnl`	One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song
2022	A	`conf`	Pose and Joint-Aware Action Recognition. WACV Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava
2022	A*	`conf`	Rethinking Pseudo Labels for Semi-supervised Object Detection. AAAI Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2022	J	`jnl`	Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. CoRR Sai Saketh Rambhatla, Saksham Suri, Rama Chellappa, Abhinav Shrivastava
2022	J	`jnl`	Teaching Matters: Investigating the Role of Supervision in Vision Transformers. CoRR Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava
2021	A*	`conf`	2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CVPR Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2021	J	`jnl`	A Frequency Perspective of Adversarial Robustness. CoRR Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
2021	—	`conf`	Analyzing and Mitigating JPEG Compression Defects in Deep Learning. ICCVW Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2021	J	`jnl`	Burn After Reading: Online Adaptation for Cross-domain Streaming Data. CoRR Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah
2021	A*	`conf`	Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. ICCV Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2021	A	`conf`	Deep Video Inpainting Detection. BMVC Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim
2021	J	`jnl`	Deep Video Inpainting Detection. CoRR Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim
2021	A*	`conf`	Diverse Video Generation using a Gaussian Process Trigger. ICLR Gaurav Shrivastava, Abhinav Shrivastava
2021	J	`jnl`	Diverse Video Generation using a Gaussian Process Trigger. CoRR Gaurav Shrivastava, Abhinav Shrivastava
2021	J	`jnl`	Dual-Key Multimodal Backdoors for Visual Question Answering. CoRR Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha
2021	A	`conf`	GTA: Global Temporal Attention for Video Action Understanding. BMVC Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava
2021	A	`conf`	HR-RCNN: Hierarchical Relational Reasoning for Object Detection. BMVC Hao Chen, Abhinav Shrivastava
2021	J	`jnl`	HR-RCNN: Hierarchical Relational Reasoning for Object Detection. CoRR Hao Chen, Abhinav Shrivastava
2021	A*	`conf`	Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. CVPR Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava
2021	A*	`conf`	Knowledge Evolution in Neural Networks. CVPR Ahmed Taha, Abhinav Shrivastava, Larry S. Davis
2021	J	`jnl`	Knowledge Evolution in Neural Networks. CoRR Ahmed Taha, Abhinav Shrivastava, Larry Davis
2021	A*	`conf`	LayoutTransformer: Layout Generation and Completion with Self-attention. ICCV Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava
2021	A*	`conf`	Learned Spatial Representations for Few-shot Talking-Head Synthesis. ICCV Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava
2021	J	`jnl`	Learned Spatial Representations for Few-shot Talking-Head Synthesis. CoRR Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava
2021	A*	`conf`	Learning Graphs for Knowledge Transfer With Limited Labels. CVPR Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava
2021	A*	`conf`	Learning To Predict Visual Attributes in the Wild. CVPR Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
2021	J	`jnl`	Learning to Predict Visual Attributes in the Wild. CoRR Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
2021	A*	`conf`	NeRV: Neural Representations for Videos. NeurIPS Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2021	J	`jnl`	NeRV: Neural Representations for Videos. CoRR Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2021	A*	`conf`	No-frills Dynamic Planning using Static Planners. ICRA Mara Levy, Vasista Ayyagari, Abhinav Shrivastava
2021	J	`jnl`	No-frills Dynamic Planning using Static Planners. CoRR Mara Levy, Vasista Ayyagari, Abhinav Shrivastava
2021	A*	`conf`	PatchGame: Learning to Signal Mid-level Patches in Referential Games. NeurIPS Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Yasanga Jayasundara Magalle Hewa, Matthias Zwicker, Abhinav Shrivastava
2021	J	`jnl`	PatchGame: Learning to Signal Mid-level Patches in Referential Games. CoRR Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava
2021	J	`jnl`	Rethinking Pseudo Labels for Semi-Supervised Object Detection. CoRR Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2021	J	`jnl`	SVMax: A Feature Embedding Regularizer. CoRR Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis
2021	A*	`conf`	StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis. CVPR Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava
2021	J	`jnl`	StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis. CoRR Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava
2021	A*	`conf`	The Lottery Ticket Hypothesis for Object Recognition. CVPR Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava
2021	A*	`conf`	The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. ICCV Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
2021	J	`jnl`	The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. CoRR Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
2021	A*	`conf`	Towards Discovery and Attribution of Open-world GAN Generated Images. ICCV Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava
2021	J	`jnl`	Towards Discovery and Attribution of Open-world GAN Generated Images. CoRR Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava
2021	A*	`conf`	Towards a Unifying Framework for Formal Theories of Novelty. AAAI Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer
2020	J	`jnl`	2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CoRR Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2020	—	`conf`	A Generic Visualization Approach for Convolutional Neural Networks. ECCV (17) Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis
2020	J	`jnl`	A Generic Visualization Approach for Convolutional Neural Networks. CoRR Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis
2020	J	`jnl`	A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer
2020	J	`jnl`	All About Knowledge Graphs for Actions. CoRR Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava
2020	J	`jnl`	Analyzing and Mitigating Compression Defects in Deep Learning. CoRR Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2020	A	`conf`	Boosting Standard Classification Architectures Through a Ranking Regularizer. WACV Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis
2020	J	`jnl`	Curriculum Manager for Source Selection in Multi-Source Domain Adaptation. CoRR Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
2020	—	`conf`	Curriculum Manager for Source Selection in Multi-source Domain Adaptation. ECCV (14) Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
2020	J	`jnl`	Deep Depth Prior for Multi-View Stereo. CoRR Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi
2020	J	`jnl`	Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder. J. Imaging Michelle Tang, Pulkit Kumar, Hao Chen, Abhinav Shrivastava
2020	—	`conf`	Depth Completion Using a View-constrained Deep Prior. 3DV Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi
2020	A*	`conf`	Detecting Human-Object Interactions via Functional Generalization. AAAI Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa
2020	B	`conf`	End-to-End Learning of Compressible Features. ICIP Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020	J	`jnl`	End-to-end Learning of Compressible Features. CoRR Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020	J	`jnl`	GTA: Global Temporal Attention for Video Action Understanding. CoRR Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava
2020	A*	`conf`	Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. AAAI Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis
2020	J	`jnl`	Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet. CoRR Hao Chen, Abhinav Shrivastava
2020	A	`conf`	Hand-Priming in Object Localization for Assistive Egocentric Vision. WACV Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
2020	J	`jnl`	Hand-Priming in Object Localization for Assistive Egocentric Vision. CoRR Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
2020	—	`conf`	Improved Modeling of 3D Shapes with Multi-view Depth Maps. 3DV Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker
2020	J	`jnl`	Improved Modeling of 3D Shapes with Multi-view Depth Maps. CoRR Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker
2020	J	`jnl`	Layout Generation and Completion with Self-attention. CoRR Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava
2020	J	`jnl`	Learning Visual Representations for Transfer Learning by Suppressing Texture. CoRR Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs
2020	J	`jnl`	MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. CoRR Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2020	A*	`conf`	PatchVAE: Learning Local Latent Codes for Recognition. CVPR Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2020	J	`jnl`	PatchVAE: Learning Local Latent Codes for Recognition. CoRR Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2020	J	`jnl`	Pose And Joint-Aware Action Recognition. CoRR Anshul Shah, Shlok Kumar Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava
2020	—	`conf`	Quantization Guided JPEG Artifact Correction. ECCV (8) Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2020	J	`jnl`	Quantization Guided JPEG Artifact Correction. CoRR Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava
2020	A*	`conf`	Scalable Model Compression by Entropy Penalized Reparameterization. ICLR Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
2020	J	`jnl`	Spatial Priming for Detecting Human-Object Interactions. CoRR Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa
2020	J	`jnl`	The Lottery Ticket Hypothesis for Object Recognition. CoRR Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava
2019	J	`jnl`	Detecting Human-Object Interactions via Functional Generalization. CoRR Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa
2019	A*	`conf`	EvalNorm: Estimating Batch Normalization Statistics for Evaluation. ICCV Saurabh Singh, Abhinav Shrivastava
2019	J	`jnl`	EvalNorm: Estimating Batch Normalization Statistics for Evaluation. CoRR Saurabh Singh, Abhinav Shrivastava
2019	J	`jnl`	Model Compression by Entropy Penalized Reparameterization. CoRR Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
2019	J	`jnl`	Referring to Objects in Videos using Spatio-Temporal Identifying Descriptions. CoRR Peratham Wiriyathammabhum, Abhinav Shrivastava, Vlad I. Morariu, Larry S. Davis
2019	A*	`conf`	Relational Action Forecasting. CVPR Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
2019	J	`jnl`	Relational Action Forecasting. CoRR Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
2019	—	`conf`	Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion. ICCV Workshops Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker
2019	J	`jnl`	Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion. CoRR Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker
2019	J	`jnl`	Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. CoRR Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis
2018	—	`conf`	Actor-Centric Relation Network. ECCV (11) Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
2018	J	`jnl`	Actor-Centric Relation Network. CoRR Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
2018	—	`conf`	Tracking Emerges by Colorizing Videos. ECCV (13) Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
2018	J	`jnl`	Tracking Emerges by Colorizing Videos. CoRR Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
2017	A*	`conf`	A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. CVPR Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta
2017	J	`jnl`	A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. CoRR Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta
2017	—	`—`	Discovering and Leveraging Visual Structure for Large-Scale Recognation. Abhinav Shrivastava
2017	A*	`conf`	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. ICCV Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
2017	J	`jnl`	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. CoRR Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
2016	J	`jnl`	Beyond Skip Connections: Top-Down Modulation for Object Detection. CoRR Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik, Abhinav Gupta
2016	—	`conf`	Contextual Priming and Feedback for Faster R-CNN. ECCV (1) Abhinav Shrivastava, Abhinav Gupta
2016	A*	`conf`	Cross-Stitch Networks for Multi-task Learning. CVPR Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert
2016	J	`jnl`	Cross-stitch Networks for Multi-task Learning. CoRR Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert
2016	A*	`conf`	Training Region-Based Object Detectors with Online Hard Example Mining. CVPR Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick
2016	J	`jnl`	Training Region-based Object Detectors with Online Hard Example Mining. CoRR Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick
2015	J	`jnl`	Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr
2015	J	`jnl`	Mid-level Elements for Object Detection. CoRR Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta
2015	J	`jnl`	Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos. CoRR Ishan Misra, Abhinav Shrivastava, Martial Hebert
2015	A*	`conf`	Watch and learn: Semi-supervised learning of object detectors from videos. CVPR Ishan Misra, Abhinav Shrivastava, Martial Hebert
2014	A	`conf`	Data-driven exemplar model selection. WACV Ishan Misra, Abhinav Shrivastava, Martial Hebert
2014	A*	`conf`	Enriching Visual Knowledge Bases via Object Discovery and Segmentation. CVPR Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
2013	A*	`conf`	Building Part-Based Object Detectors via 3D Geometry. ICCV Abhinav Shrivastava, Abhinav Gupta
2013	A*	`conf`	NEIL: Extracting Visual Knowledge from Web Data. ICCV Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta
2012	—	`conf`	Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. ECCV (3) Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
2012	A*	`conf`	Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. ICML Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei A. Efros
2011	J	`jnl`	Data-driven visual similarity for cross-domain image matching. ACM Trans. Graph. Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros