Srikrishna Karanam

94 papers A* 20A 9Misc 1Journal 49Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts. AAAI Kiran Chhatre, Christopher E. Peters, Srikrishna Karanam
2026	J	`jnl`	LiteEmbed: Adapting CLIP to Rare Classes. CoRR Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi
2025	A	`conf`	AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models. WACV Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
2025	A	`conf`	An Image is Worth Multiple Words: Multi-Attribute Inversion for Constrained Text-To-Image Synthesis. WACV Aishwarya Agarwal, Srikrishna Karanam, Tripti Shukla, Balaji Vasan Srinivasan
2025	A*	`conf`	CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis. ACM Multimedia Aravindan Kamatchi Sundaram, Ujjayan Pal, Abhimanyu Chauhan, Aishwarya Agarwal, Srikrishna Karanam
2025	A*	`conf`	Composing Parts for Expressive Object Generation. CVPR Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
2025	J	`jnl`	Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach. CoRR Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi
2025	J	`jnl`	Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts. CoRR Kiran Chhatre, Christopher Peters, Srikrishna Karanam
2025	A*	`conf`	TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction. CVPR Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi
2025	—	`conf`	Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis. CVPR Workshops Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
2024	J	`jnl`	AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models. CoRR Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
2024	Misc	`conf`	Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. NSDI Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
2024	J	`jnl`	CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis. CoRR Aravindan Sundaram, Ujjayan Pal, Abhimanyu Chauhan, Aishwarya Agarwal, Srikrishna Karanam
2024	A*	`conf`	CoPL: Contextual Prompt Learning for Vision-Language Understanding. AAAI Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan
2024	J	`jnl`	Crafting Parts for Expressive Object Composition. CoRR Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
2024	A	`conf`	Domain Adaptive 3D Shape Retrieval from Monocular Images. WACV Harsh Pal, Ritwik Khandelwal, Shivam Pande, Biplab Banerjee, Srikrishna Karanam
2024	J	`jnl`	Few Shot Class Incremental Learning using Vision-Language models. CoRR Anurag Kumar, Chinmay Bharti, Saikat Dutta, Srikrishna Karanam, Biplab Banerjee
2024	A	`conf`	Iterative Multi-granular Image Editing using Diffusion Models. WACV K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan
2024	—	`conf`	SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. ECCV (44) Sayan Nag, Koustava Goswami, Srikrishna Karanam
2024	J	`jnl`	SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. CoRR Sayan Nag, Koustava Goswami, Srikrishna Karanam
2024	J	`jnl`	TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction. CoRR Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi
2024	J	`jnl`	Test-time Conditional Text-to-Image Synthesis Using Diffusion Models. CoRR Tripti Shukla, Srikrishna Karanam, Balaji Vasan Srinivasan
2024	J	`jnl`	Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis. CoRR Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
2023	—	`conf`	A Neural CRF-based Hierarchical Approach for Linear Text Segmentation. EACL (Findings) Inderjeet Nair, Aparna Garimella, Balaji Vasan Srinivasan, Natwar Modani, Niyati Chhaya, Srikrishna Karanam, Sumit Shekhar
2023	A*	`conf`	A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. ICCV Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
2023	J	`jnl`	A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. CoRR Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
2023	J	`jnl`	An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis. CoRR Aishwarya Agarwal, Srikrishna Karanam, Tripti Shukla, Balaji Vasan Srinivasan
2023	J	`jnl`	Approximate Caching for Efficiently Serving Diffusion Models. CoRR Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini
2023	J	`jnl`	Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms. CoRR Prachi Singh, Srikrishna Karanam, Sumit Shekhar
2023	J	`jnl`	Contextual Prompt Learning for Vision-Language Understanding. CoRR Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan
2023	A	`conf`	Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval. WACV Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan, Biplab Banerjee
2023	J	`jnl`	Iterative Multi-granular Image Editing using Diffusion Models. CoRR K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan
2023	J	`jnl`	Learning with Difference Attention for Visually Grounded Self-supervised Representations. CoRR Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan
2023	J	`jnl`	Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval. CoRR Prateksha Udhayanan, Srikrishna Karanam, Balaji Vasan Srinivasan
2022	A	`conf`	Multi-motion and Appearance Self-Supervised Moving Object Detection. WACV Fan Yang, Srikrishna Karanam, Meng Zheng, Terrence Chen, Haibin Ling, Ziyan Wu
2022	A*	`conf`	Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. AAAI Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje
2022	J	`jnl`	Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. CoRR Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje
2022	—	`conf`	PseudoClick: Interactive Image Segmentation with Click Imitation. ECCV (6) Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
2022	J	`jnl`	PseudoClick: Interactive Image Segmentation with Click Imitation. CoRR Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
2022	A*	`conf`	SMPL-A: Modeling Person-Specific Deformable Anatomy. CVPR Hengtao Guo, Benjamin Planche, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu
2022	—	`conf`	Self-supervised Human Mesh Recovery with Cross-Representation Alignment. ECCV (1) Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu
2022	J	`jnl`	Self-supervised Human Mesh Recovery with Cross-Representation Alignment. CoRR Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu
2022	A*	`conf`	Visual Similarity Attention. IJCAI Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
2021	A*	`conf`	A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. CVPR Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
2021	J	`jnl`	A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. CoRR Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
2021	A*	`conf`	Ensemble Attention Distillation for Privacy-Preserving Federated Learning. ICCV Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje
2021	A	`conf`	Everybody Is Unique: Towards Unbiased Human Mesh Recovery. BMVC Ren Li, Srikrishna Karanam, Meng Zheng, Terrence Chen, Ziyan Wu
2021	J	`jnl`	Everybody Is Unique: Towards Unbiased Human Mesh Recovery. CoRR Ren Li, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu
2021	J	`jnl`	Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis. IEEE Trans. Medical Imaging Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng
2021	J	`jnl`	Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis. CoRR Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng
2021	—	`conf`	Learning Local Recurrent Models for Human Mesh Recovery. 3DV Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu
2021	J	`jnl`	Learning Local Recurrent Models for Human Mesh Recovery. CoRR Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu
2021	A*	`conf`	Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. ICCV Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu
2021	J	`jnl`	Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. CoRR Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu
2021	J	`jnl`	Towards Automated Spatio-Temporal Trajectory Recovery in Wide-Area Camera Networks. IEEE Trans. Biom. Behav. Identity Sci. Meng Zheng, Srikrishna Karanam, Richard J. Radke
2020	—	`conf`	Hierarchical Kinematic Human Mesh Recovery. ECCV (17) Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecká, Ziyan Wu
2020	J	`jnl`	Hierarchical Kinematic Human Mesh Recovery. CoRR Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu
2020	—	`conf`	Robust Multi-modal 3D Patient Body Modeling. MICCAI (3) Fan Yang, Ren Li, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu
2020	J	`jnl`	Towards Contactless Patient Positioning. IEEE Trans. Medical Imaging Srikrishna Karanam, Ren Li, Fan Yang, Wei Hu, Terrence Chen, Ziyan Wu
2020	J	`jnl`	Towards Visually Explaining Similarity Models. CoRR Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
2020	A*	`conf`	Towards Visually Explaining Variational Autoencoders. CVPR WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps
2019	J	`jnl`	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Srikrishna Karanam, Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia I. Camps, Richard J. Radke
2019	A*	`conf`	Incremental Scene Synthesis. NeurIPS Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Jan Ernst, Andreas Hutter
2019	A*	`conf`	Learning Local RGB-to-CAD Correspondences for Object Pose Estimation. ICCV Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka
2019	J	`jnl`	Learning Similarity Attention. CoRR Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
2019	A*	`conf`	Re-Identification With Consistent Attentive Siamese Networks. CVPR Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke
2019	A*	`conf`	Sharpen Focus: Learning With Attention Separability and Consistency. ICCV Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas
2019	J	`jnl`	Towards Robust RGB-D Human Mesh Recovery. CoRR Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu
2019	J	`jnl`	Towards Visually Explaining Variational Autoencoders. CoRR WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps
2018	A*	`conf`	End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching. CVPR Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecká
2018	J	`jnl`	End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching. CoRR Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecka
2018	J	`jnl`	Incremental Scene Synthesis. CoRR Benjamin Planche, Xuejian Rong, Ziyan Wu, Srikrishna Karanam, Harald Kosch, Yingli Tian, Andreas Hutter, Jan Ernst
2018	J	`jnl`	Learning Affine Hull Representations for Multi-Shot Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Srikrishna Karanam, Ziyan Wu, Richard J. Radke
2018	A*	`conf`	Learning Compositional Visual Concepts With Mutual Consistency. CVPR Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
2018	J	`jnl`	Matching RGB Images to CAD Models for Object Pose Estimation. CoRR Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka
2018	J	`jnl`	Measuring the Temporal Behavior of Real-World Person Re-Identification. CoRR Meng Zheng, Srikrishna Karanam, Richard J. Radke
2018	J	`jnl`	Multi-View Egocentric Video Summarization. CoRR Mohamed Elfeki, Aidean Sharghi, Srikrishna Karanam, Ziyan Wu, Ali Borji
2018	—	`conf`	RPIfield: A New Dataset for Temporally Evaluating Person Re-Identification. CVPR Workshops Meng Zheng, Srikrishna Karanam, Richard J. Radke
2018	J	`jnl`	Re-Identification with Consistent Attentive Siamese Networks. CoRR Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke
2018	J	`jnl`	Reducing Visual Confusion with Discriminative Attention. CoRR Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh
2017	—	`conf`	DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset. CVPR Workshops Mengran Gou, Srikrishna Karanam, WenQian Liu, Octavia I. Camps, Richard J. Radke
2017	J	`jnl`	From the Lab to the Real World: Re-identification in an Airport Camera Network. IEEE Trans. Circuits Syst. Video Technol. Octavia I. Camps, Mengran Gou, Tom Hebble, Srikrishna Karanam, Oliver Lehmann, Yang Li, Richard J. Radke, Ziyan Wu, Fei Xiong
2017	J	`jnl`	Learning Compositional Visual Concepts with Mutual Consistency. CoRR Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
2017	J	`jnl`	Person re-identification with block sparse recovery. Image Vis. Comput. Srikrishna Karanam, Yang Li, Richard J. Radke
2017	—	`conf`	Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. ICDSC Srikrishna Karanam, Eric Lam, Richard J. Radke
2017	J	`jnl`	Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification. CoRR Srikrishna Karanam, Eric Lam, Richard J. Radke
2017	—	`—`	Searching for people in camera networks. Srikrishna Karanam
2016	J	`jnl`	A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. CoRR Srikrishna Karanam, Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia I. Camps, Richard J. Radke
2015	A	`conf`	Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis. BMVC Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke
2015	A	`conf`	Particle dynamics and multi-channel feature dictionaries for robust visual tracking. BMVC Srikrishna Karanam, Yang Li, Richard J. Radke
2015	A*	`conf`	Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries. ICCV Srikrishna Karanam, Yang Li, Richard J. Radke
2015	—	`conf`	Sparse re-id: Block sparsity for person re-identification. CVPR Workshops Srikrishna Karanam, Yang Li, Richard J. Radke
2014	—	`conf`	Real-World Re-Identification in an Airport Camera Network. ICDSC Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke
2011	—	`conf`	Analysis and improvement of SNR using time slicing. ICDIP Srikrishna Karanam, Amarjot Singh, Devinder Kumar, Akash Choubey, Ketan Bacchuwar