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Conference and Workshop Papers
- 2024
[c13]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. CVPR 2024: 8228-8238- 2023
- [c12]Xixi Hu, Senthil Purushwalkam, David Harwath, Kristen Grauman:
Learning to Map Efficiently by Active Echolocation. IROS 2023: 1505-1510 - [c11]Senthil Purushwalkam, Nikhil Naik:
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. NeurIPS 2023 - 2022
- [c10]Senthil Purushwalkam, Pedro Morgado
, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. ECCV (26) 2022: 702-721 - [c9]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML 2022: 17359-17371 - 2021
- [c8]Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. ICCV 2021: 1163-1172 - [c7]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. ICCV 2021: 15752-15761 - 2020
- [c6]Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta:
Aligning Videos in Space and Time. ECCV (26) 2020: 262-278 - [c5]Senthil Purushwalkam, Abhinav Gupta:
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. NeurIPS 2020 - 2019
- [c4]Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato:
Task-Driven Modular Networks for Zero-Shot Compositional Learning. ICCV 2019: 3592-3601 - [c3]Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell:
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. ICLR (Poster) 2019 - 2016
- [c2]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra:
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS 2016: 2119-2127 - 2013
- [c1]Senthil Purushwalkam, Baihua Li, Qinggang Meng, Jamie S. McPhee:
Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images. ICIAR 2013: 451-458
Informal and Other Publications
- 2024
- [i19]Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik:
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR abs/2401.13974 (2024) - [i18]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:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i17]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:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i16]Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty:
SFR-RAG: Towards Contextually Faithful LLMs. CoRR abs/2409.09916 (2024) - 2023
- [i15]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 abs/2309.03450 (2023) - [i14]Senthil Purushwalkam, Nikhil Naik:
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. CoRR abs/2311.05230 (2023) - [i13]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 abs/2311.12908 (2023) - 2022
- [i12]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR abs/2203.03580 (2022) - [i11]Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. CoRR abs/2203.12710 (2022) - 2021
- [i10]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. CoRR abs/2109.01097 (2021) - 2020
- [i9]Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta:
Aligning Videos in Space and Time. CoRR abs/2007.04515 (2020) - [i8]Senthil Purushwalkam, Abhinav Gupta:
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. CoRR abs/2007.13916 (2020) - [i7]Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. CoRR abs/2012.15470 (2020) - 2019
- [i6]Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell:
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. CoRR abs/1904.06827 (2019) - [i5]Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato:
Task-Driven Modular Networks for Zero-Shot Compositional Learning. CoRR abs/1905.05908 (2019) - 2016
- [i4]Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra:
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR abs/1606.07839 (2016) - [i3]Senthil Purushwalkam, Abhinav Gupta:
Pose from Action: Unsupervised Learning of Pose Features based on Motion. CoRR abs/1609.05420 (2016) - 2015
- [i2]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 abs/1511.06314 (2015) - 2014
- [i1]Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra:
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. CoRR abs/1412.4313 (2014)
Coauthor Index
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