Senthil Purushwalkam

According to our database, Senthil Purushwalkam authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Trust but Verify: Programmatic VLM Evaluation in the Wild.

Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu

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

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

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, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

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

CoRR, 2024

BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.

Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik

CoRR, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

XGen-7B Technical Report.

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

CoRR, 2023

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image.

Senthil Purushwalkam, Nikhil Naik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Map Efficiently by Active Echolocation.

Xixi Hu, Senthil Purushwalkam, David Harwath, Kristen Grauman

IROS, 2023

2022

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control.

Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta

Proceedings of the International Conference on Machine Learning, 2022

The Challenges of Continuous Self-Supervised Learning.

Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Audio-Visual Floorplan Reconstruction.

Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Functional Correspondence Problem.

Zihang Lai, Senthil Purushwalkam, Abhinav Gupta

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases.

Senthil Purushwalkam, Abhinav Gupta

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Aligning Videos in Space and Time.

Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces.

Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell

Proceedings of the 7th International Conference on Learning Representations, 2019

Task-Driven Modular Networks for Zero-Shot Compositional Learning.

Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016

Pose from Action: Unsupervised Learning of Pose Features based on Motion.

Senthil Purushwalkam, Abhinav Gupta

CoRR, 2016

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles.

Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

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

2014

Combining the Best of Graphical Models and ConvNets for Semantic Segmentation.

Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra

CoRR, 2014

2013

Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images.

Senthil Purushwalkam, Baihua Li, Qinggang Meng, Jamie S. McPhee

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013