Senthil Purushwalkam

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Multiple Choice

Image Generation

Moving Vehicle Detection

Diffusion Model

Top Venues

Publications

Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR (2024)
Senthil Purushwalkam, Nikhil Naik
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. NeurIPS (2023)
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
XGen-7B Technical Report. CoRR (2023)
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
Diffusion Model Alignment Using Direct Preference Optimization. CoRR (2023)
Xixi Hu, Senthil Purushwalkam, David Harwath, Kristen Grauman
Learning to Map Efficiently by Active Echolocation. IROS (2023)
Senthil Purushwalkam, Nikhil Naik
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. CoRR (2023)
Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
The Challenges of Continuous Self-Supervised Learning. CoRR (2022)
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR (2022)
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML (2022)
Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
The Challenges of Continuous Self-Supervised Learning. ECCV (26) (2022)
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
The Functional Correspondence Problem. ICCV (2021)
Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman
Audio-Visual Floorplan Reconstruction. ICCV (2021)
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
The Functional Correspondence Problem. CoRR (2021)
Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman
Audio-Visual Floorplan Reconstruction. CoRR (2020)
Senthil Purushwalkam, Abhinav Gupta
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. CoRR (2020)
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
Aligning Videos in Space and Time. CoRR (2020)
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
Aligning Videos in Space and Time. ECCV (26) (2020)
Senthil Purushwalkam, Abhinav Gupta
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. NeurIPS (2020)
Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. ICLR (Poster) (2019)
Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato
Task-Driven Modular Networks for Zero-Shot Compositional Learning. ICCV (2019)
Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato
Task-Driven Modular Networks for Zero-Shot Compositional Learning. CoRR (2019)
Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. CoRR (2019)
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS (2016)
Senthil Purushwalkam, Abhinav Gupta
Pose from Action: Unsupervised Learning of Pose Features based on Motion. CoRR (2016)
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR (2016)
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR (2015)
Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. CoRR (2014)
Senthil Purushwalkam, Baihua Li, Qinggang Meng, Jamie S. McPhee
Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images. ICIAR (2013)