Larry Davis - RankMe

76 papers A* 16A 9C 1Journal 32Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	BodyMetric: Evaluating the Realism of Human Bodies in Text-to-Image Generation. CoRR Nefeli Andreou, Varsha Vivek, Ying Wang, Alex Vorobiov, Tiffany Deng, Raja Bala, Larry Davis, Betty Mohler Tesch
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
2023	A	`conf`	More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching. WACV Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas
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	A	`conf`	M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. WACV Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
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`	TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. BMVC Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry Davis
2021	—	`conf`	Analyzing and Mitigating JPEG Compression Defects in Deep Learning. ICCVW Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2021	J	`jnl`	Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang
2021	A	`conf`	Deep Video Inpainting Detection. BMVC Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim
2021	A*	`conf`	Dual Contrastive Loss and Attention for GANs. ICCV Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021	J	`jnl`	Dual Contrastive Loss and Attention for GANs. CoRR Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021	A	`conf`	Hierarchical Contrastive Motion Learning for Video Action Recognition. BMVC Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz
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`	Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. ICCV Soubhik Sanyal, Betty J. Mohler, Alex Vorobiov, Larry Davis, Timo Bolkart, Javier Romero, Matthew Loper, Michael J. Black
2021	J	`jnl`	Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. CoRR Soubhik Sanyal, Alex Vorobiov, Timo Bolkart, Matthew Loper, Betty J. Mohler, Larry Davis, Javier Romero, Michael J. Black
2021	J	`jnl`	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. CoRR Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
2021	J	`jnl`	More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints. CoRR Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas
2021	A*	`conf`	PSANet - subspace attention for personalized compatibility. ICDM Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis
2021	J	`jnl`	SVMax: A Feature Embedding Regularizer. CoRR Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis
2021	—	`conf`	Scalable and Explainable Outfit Generation. CVPR Workshops Alexander Lorbert, David Neiman, Arik Poznanski, Eduard Oks, Larry Davis
2021	J	`jnl`	Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. CoRR Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
2021	A*	`conf`	VideoLT: Large-scale Long-tailed Video Recognition. ICCV Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis
2021	J	`jnl`	VideoLT: Large-scale Long-tailed Video Recognition. CoRR Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry 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`	ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis
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	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`	Hierarchical Contrastive Motion Learning for Video Action Recognition. CoRR Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz
2020	—	`conf`	Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020	J	`jnl`	Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
2020	J	`jnl`	Layout Generation and Completion with Self-attention. CoRR Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava
2020	A	`conf`	M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. BMVC Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis
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	J	`jnl`	Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz
2020	J	`jnl`	SLADE: A Self-Training Framework For Distance Metric Learning. CoRR Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry Davis, C.-C. Jay Kuo
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	—	`conf`	A Weakly Supervised Adaptive Triplet Loss for Deep Metric Learning. ICCV Workshops Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis
2019	J	`jnl`	A weakly supervised adaptive triplet loss for deep metric learning. CoRR Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis
2019	A*	`conf`	ACE: Adapting to Changing Environments for Semantic Segmentation. ICCV Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis
2019	A*	`conf`	Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV Ning Yu, Larry Davis, Mario Fritz
2019	A*	`conf`	AutoFocus: Efficient Multi-Scale Inference. ICCV Mahyar Najibi, Bharat Singh, Larry Davis
2019	J	`jnl`	Award winning papers from the 23rd International Conference on Pattern Recognition (ICPR). Pattern Recognit. Lett. Larry Davis, Alberto Del Bimbo, Brian C. Lovell
2019	A*	`conf`	Cross-X Learning for Fine-Grained Visual Categorization. ICCV Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim
2019	A*	`conf`	Deep Residual Learning in the JPEG Transform Domain. ICCV Max Ehrlich, Larry Davis
2019	J	`jnl`	Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems. CoRR Ahmed Taha, Yi-Ting Chen, Xitong Yang, Teruhisa Misu, Larry Davis
2019	A*	`conf`	FiNet: Compatible and Diverse Fashion Image Inpainting. ICCV Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry Davis
2019	J	`jnl`	In Defense of the Triplet Loss for Visual Recognition. CoRR Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Larry Davis
2019	A*	`conf`	Layout-Induced Video Representation for Recognizing Agent-in-Place Actions. ICCV Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry Davis
2019	J	`jnl`	Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. CoRR Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein
2019	J	`jnl`	STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CoRR Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
2019	A*	`conf`	StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong
2019	A*	`conf`	Temporal Recurrent Networks for Online Action Detection. ICCV Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall
2019	J	`jnl`	Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. CoRR Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis
2019	C	`conf`	Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. IGARSS Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
2019	—	`conf`	WSLLN: Weakly Supervised Natural Language Localization Networks. EMNLP/IJCNLP (1) Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong
2019	A	`conf`	Weakly-Supervised Spatial Context Networks. WACV Zuxuan Wu, Larry Davis, Leonid Sigal
2018	J	`jnl`	Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. CoRR Ning Yu, Larry Davis, Mario Fritz
2018	—	`conf`	Bidirectional Convolutional LSTM for the Detection of Violence in Videos. ECCV Workshops (2) Alex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis
2018	J	`jnl`	Two Stream Self-Supervised Learning for Action Recognition. CoRR Ahmed Taha, Moustafa Meshry, Xitong Yang, Yi-Ting Chen, Larry Davis
2017	A*	`conf`	LSVC2017: Large-Scale Video Classification Challenge. ACM Multimedia Zuxuan Wu, Yu-Gang Jiang, Larry Davis, Shih-Fu Chang
2016	J	`jnl`	Special Issue on Individual and Group Activities in Video Event Analysis. Comput. Vis. Image Underst. Liang Wang, Ioannis Patras, Jian Zhang, Greg Mori, Larry Davis
2014	—	`conf`	BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID Florian Luisier, Manasvi Tickoo, Walter Andrews, Guangnan Ye, Dong Liu, Shih-Fu Chang, Ruslan Salakhutdinov, Vlad I. Morariu, Larry Davis, Abhinav Gupta, Ismail Haritaoglu, Sadiye Guler, Ashutosh Morde
2014	—	`ed.`	International Conference on Internet Multimedia Computing and Service, ICIMCS '14, Xiamen, China, July 10-12, 2014 ICIMCS Hanzi Wang, Larry Davis, Wenwu Zhu, Stephan Kopf, Yanyun Qu, Jun Yu, Jitao Sang, Tao Mei
2013	—	`conf`	BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID Pradeep Natarajan, Shuang Wu, Florian Luisier, Xiaodan Zhuang, Manasvi Tickoo, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Vlad I. Morariu, Larry Davis, Abhinav Gupta, Ismail Haritaoglu, Sadiye Guler, Ashutosh Morde
2012	—	`conf`	BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID Pradeep Natarajan, Prem Natarajan, Shuang Wu, Xiaodan Zhuang, Amelio Vázquez Reina, Shiv Vitaladevuni, Kleovoulos Tsourides, Carl Andersen, Rohit Prasad, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Yue Ng, Brandyn White, Larry Davis, Abhinav Gupta, Ismail Haritaoglu
2011	—	`conf`	BBN VISER TRECVID 2011 Multimedia Event Detection System. TRECVID Pradeep Natarajan, Prem Natarajan, Vasant Manohar, Shuang Wu, Stavros Tsakalidis, Shiv Vitaladevuni, Xiaodan Zhuang, Rohit Prasad, Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang, Hamid Izadinia, Imran Saleemi, Mubarak Shah, Brandyn White, Tom Yeh, Larry Davis
2011	—	`conf`	Kernel PLS regression for robust monocular pose estimation. CVPR Workshops Radu Dondera, Larry Davis
2005	—	`conf`	Constructing task visibility intervals for a surveillance system. VSSN@MM Ser-Nam Lim, Anurag Mittal, Larry Davis
1994	—	`conf`	Recognizing facial expressions by spatio-temporal analysis. ICPR (1) Yaser Yaccob, Larry Davis
1992	—	`conf`	Ground and airborne localization over rough terrain using random environmental range-measurements. ICPR (1) Yaser Yacoob, Larry Davis