Senthil Purushwalkam

41 papers A* 8A 1Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BLIP-3: A Family of Open Large Multimodal Models. ICCVW Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025	J	`jnl`	DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs. CoRR Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong, Silvio Savarese, Heng Ji, Ran Xu
2025	A*	`conf`	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". ICLR Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2024	J	`jnl`	BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions. CoRR Anas Awadalla, Le Xue, Manli Shu, An Yan, Jun Wang, Senthil Purushwalkam, Sheng Shen, Hannah Lee, Oscar Lo, Jae Sung Park, Etash Kumar Guha, Silvio Savarese, Ludwig Schmidt, Yejin Choi, Caiming Xiong, Ran Xu
2024	—	`conf`	BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. ECCV Workshops (20) Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
2024	J	`jnl`	BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
2024	A*	`conf`	Diffusion Model Alignment Using Direct Preference Optimization. CVPR Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
2024	J	`jnl`	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". CoRR Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2024	J	`jnl`	SFR-RAG: Towards Contextually Faithful LLMs. CoRR Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty
2024	J	`jnl`	Trust but Verify: Programmatic VLM Evaluation in the Wild. CoRR Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu
2024	J	`jnl`	xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2024	—	`conf`	xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2023	A*	`conf`	ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. NeurIPS Senthil Purushwalkam, Nikhil Naik
2023	J	`jnl`	ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. CoRR Senthil Purushwalkam, Nikhil Naik
2023	J	`jnl`	Diffusion Model Alignment Using Direct Preference Optimization. CoRR Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
2023	A	`conf`	Learning to Map Efficiently by Active Echolocation. IROS Xixi Hu, Senthil Purushwalkam, David Harwath, Kristen Grauman
2023	J	`jnl`	XGen-7B Technical Report. CoRR Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
2022	—	`conf`	The Challenges of Continuous Self-Supervised Learning. ECCV (26) Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
2022	J	`jnl`	The Challenges of Continuous Self-Supervised Learning. CoRR Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
2022	A*	`conf`	The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
2022	J	`jnl`	The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
2022	—	`—`	Visual Representation and Recognition without Human Supervision Senthil Purushwalkam
2021	A*	`conf`	Audio-Visual Floorplan Reconstruction. ICCV Senthil Purushwalkam, Sebastià Vicenc Amengual Garí, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman
2021	A*	`conf`	The Functional Correspondence Problem. ICCV Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
2021	J	`jnl`	The Functional Correspondence Problem. CoRR Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
2020	—	`conf`	Aligning Videos in Space and Time. ECCV (26) Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
2020	J	`jnl`	Aligning Videos in Space and Time. CoRR Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
2020	J	`jnl`	Audio-Visual Floorplan Reconstruction. CoRR Senthil Purushwalkam, Sebastià Vicenc Amengual Garí, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman
2020	A*	`conf`	Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. NeurIPS Senthil Purushwalkam, Abhinav Gupta
2020	J	`jnl`	Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. CoRR Senthil Purushwalkam, Abhinav Gupta
2019	—	`conf`	Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. ICLR (Poster) Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell
2019	J	`jnl`	Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. CoRR Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell
2019	A*	`conf`	Task-Driven Modular Networks for Zero-Shot Compositional Learning. ICCV Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato
2019	J	`jnl`	Task-Driven Modular Networks for Zero-Shot Compositional Learning. CoRR Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato
2016	J	`jnl`	Pose from Action: Unsupervised Learning of Pose Features based on Motion. CoRR Senthil Purushwalkam, Abhinav Gupta
2016	—	`conf`	Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
2016	J	`jnl`	Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
2015	J	`jnl`	Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra
2014	J	`jnl`	Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. CoRR Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra
2013	—	`conf`	Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images. ICIAR Senthil Purushwalkam, Baihua Li, Qinggang Meng, Jamie S. McPhee