Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images. - Senthil Purushwalkam; Baihua Li; Qinggang Meng; Jamie S. McPhee (ICIAR, 2013)

Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. - Michael Cogswell; Xiao Lin; Senthil Purushwalkam; Dhruv Batra (CoRR, 2014)

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. - Stefan Lee; Senthil Purushwalkam; Michael Cogswell; David J. Crandall; Dhruv Batra (CoRR, 2015)

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. - Stefan Lee; Senthil Purushwalkam; Michael Cogswell; Viresh Ranjan; David J. Crandall; Dhruv Batra (NIPS, 2016)

Pose from Action: Unsupervised Learning of Pose Features based on Motion. - Senthil Purushwalkam; Abhinav Gupta 001 (CoRR, 2016)

Task-Driven Modular Networks for Zero-Shot Compositional Learning. - Senthil Purushwalkam; Maximilian Nickel; Abhinav Gupta 001; Marc'Aurelio Ranzato (ICCV, 2019)

Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. - Senthil Purushwalkam; Abhinav Gupta 001; Danny M. Kaufman; Bryan C. Russell (ICLR (Poster), 2019)

Aligning Videos in Space and Time. - Senthil Purushwalkam; Tian Ye 006; Saurabh Gupta 001; Abhinav Gupta 001 (ECCV (26), 2020)

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. - Senthil Purushwalkam; Abhinav Gupta 001 (NeurIPS, 2020)

The Functional Correspondence Problem. - Zihang Lai; Senthil Purushwalkam; Abhinav Gupta 001 (ICCV, 2021)

Audio-Visual Floorplan Reconstruction. - Senthil Purushwalkam; Sebastià Vicenc Amengual Garí; Vamsi Krishna Ithapu; Carl Schissler; Philip W. Robinson; Abhinav Gupta 001; Kristen Grauman (ICCV, 2021)

The Challenges of Continuous Self-Supervised Learning. - Senthil Purushwalkam; Pedro Morgado 001; Abhinav Gupta 001 (ECCV (26), 2022)

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. - Simone Parisi; Aravind Rajeswaran; Senthil Purushwalkam; Abhinav Gupta 001 (ICML, 2022)

Visual Representation and Recognition without Human Supervision - Senthil Purushwalkam (2022)

Learning to Map Efficiently by Active Echolocation. - Xixi Hu 001; Senthil Purushwalkam; David Harwath; Kristen Grauman (IROS, 2023)

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. - Senthil Purushwalkam; Nikhil Naik (NeurIPS, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

Diffusion Model Alignment Using Direct Preference Optimization. - Bram Wallace; Meihua Dang; Rafael Rafailov; Linqi Zhou; Aaron Lou; Senthil Purushwalkam; Stefano Ermon; Caiming Xiong; Shafiq Joty; Nikhil Naik (CVPR, 2024)

BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. - Senthil Purushwalkam; Akash Gokul; Shafiq Joty; Nikhil Naik (ECCV Workshops (20), 2024)

xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. - Can Qin; Congying Xia; Krithika Ramakrishnan; Michael S. Ryoo; Lifu Tu; Yihao Feng; Manli Shu; Honglu Zhou; Anas Awadalla; Jun Wang 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

SFR-RAG: Towards Contextually Faithful LLMs. - Xuan-Phi Nguyen; Shrey Pandit; Senthil Purushwalkam; Austin Xu; Hailin Chen; Yifei Ming; Zixuan Ke; Silvio Savarese; Caiming Xong; Shafiq Joty (CoRR, 2024)

Trust but Verify: Programmatic VLM Evaluation in the Wild. - Viraj Prabhu; Senthil Purushwalkam; An Yan; Caiming Xiong; Ran Xu 001 (CoRR, 2024)

BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions. - Anas Awadalla; Le Xue; Manli Shu; An Yan; Jun Wang 090; Senthil Purushwalkam; Sheng Shen 001; Hannah Lee; Oscar Lo; Jae Sung Park; Etash Kumar Guha; Silvio Savarese; et al. (CoRR, 2024)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". - Yifei Ming; Senthil Purushwalkam; Shrey Pandit; Zixuan Ke; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (ICLR, 2025)

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs. - Zhenhailong Wang; Senthil Purushwalkam; Caiming Xiong; Silvio Savarese; Heng Ji 001; Ran Xu 001 (CoRR, 2025)