ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks). - Harshal Mittal; Kartikey Pandey; Yash Kant (CoRR, 2019)

Spatially Aware Multimodal Transformers for TextVQA. - Yash Kant; Dhruv Batra; Peter Anderson; Alexander G. Schwing; Devi Parikh; Jiasen Lu; Harsh Agrawal (ECCV (9), 2020)

Contrast and Classify: Alternate Training for Robust VQA. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (CoRR, 2020)

Automated Video Description for Blind and Low Vision Users. - Aditya Bodi; Pooyan Fazli; Shasta Ihorn; Yue-Ting Siu; Andrew T. Scott; Lothar Narins; Yash Kant; Abhishek Das; Ilmi Yoon (CHI Extended Abstracts, 2021)

Contrast and Classify: Training Robust VQA Models. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (ICCV, 2021)

Housekeep: Tidying Virtual Households Using Commonsense Reasoning. - Yash Kant; Arun Ramachandran; Sriram Yenamandra; Igor Gilitschenski; Dhruv Batra; Andrew Szot; Harsh Agrawal (ECCV (39), 2022)

LaTeRF: Label and Text Driven Object Radiance Fields. - Ashkan Mirzaei; Yash Kant; Jonathan Kelly; Igor Gilitschenski (ECCV (3), 2022)

Invertible Neural Skinning. - Yash Kant; Aliaksandr Siarohin; Riza Alp Güler; Menglei Chai; Jian Ren 005; Sergey Tulyakov; Igor Gilitschenski (CVPR, 2023)

CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. - Tianshu Kuai; Akash Karthikeyan; Yash Kant; Ashkan Mirzaei; Igor Gilitschenski (CVPR Workshops, 2023)

Repurposing Diffusion Inpainters for Novel View Synthesis. - Yash Kant; Aliaksandr Siarohin; Michael Vasilkovsky; Riza Alp Güler; Jian Ren 005; Sergey Tulyakov; Igor Gilitschenski (SIGGRAPH Asia, 2023)

Building Scalable Video Understanding Benchmarks through Sports. - Aniket Agarwal; Alex Zhang; Karthik Narasimhan; Igor Gilitschenski; Vishvak Murahari; Yash Kant (CoRR, 2023)

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis. - Yash Kant; Aliaksandr Siarohin; Michael Vasilkovsky; Riza Alp Güler; Jian Ren 005; Sergey Tulyakov; Igor Gilitschenski (CoRR, 2023)

Virtual Pets: Animatable Animal Generation in 3D Scenes. - Yen-Chi Cheng; Chieh Hubert Lin; Chaoyang Wang 001; Yash Kant; Sergey Tulyakov; Alexander G. Schwing; Liangyan Gui; Hsin-Ying Lee 001 (CoRR, 2023)

SPAD: Spatially Aware Multi-View Diffusers. - Yash Kant; Aliaksandr Siarohin; Ziyi Wu; Michael Vasilkovsky; Guocheng Qian; Jian Ren 005; Riza Alp Güler; Bernard Ghanem; Sergey Tulyakov; Igor Gilitschenski (CVPR, 2024)

AvatarOne: Monocular 3D Human Animation. - Akash Karthikeyan; Robert Ren; Yash Kant; Igor Gilitschenski (WACV, 2024)

AToM: Amortized Text-to-Mesh using 2D Diffusion. - Guocheng Qian; Junli Cao; Aliaksandr Siarohin; Yash Kant; Chaoyang Wang 001; Michael Vasilkovsky; Hsin-Ying Lee 001; Yuwei Fang; Ivan Skorokhodov; Peiye Zhuang; Igor Gilitschenski; Jian Ren 005; et al. (CoRR, 2024)

SPAD : Spatially Aware Multiview Diffusers. - Yash Kant; Ziyi Wu; Michael Vasilkovsky; Guocheng Qian; Jian Ren 005; Riza Alp Güler; Bernard Ghanem; Sergey Tulyakov; Igor Gilitschenski; Aliaksandr Siarohin (CoRR, 2024)

Pixel-Aligned Multi-View Generation with Depth Guided Decoder. - Zhenggang Tang; Peiye Zhuang; Chaoyang Wang 001; Aliaksandr Siarohin; Yash Kant; Alexander G. Schwing; Sergey Tulyakov; Hsin-Ying Lee 001 (CoRR, 2024)

Realistic Evaluation of Model Merging for Compositional Generalization. - Derek Tam; Yash Kant; Brian Lester; Igor Gilitschenski; Colin Raffel (CoRR, 2024)

Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior. - Chen Guo; Junxuan Li; Yash Kant; Yaser Sheikh; Shunsuke Saito; Chen Cao 001 (CVPR, 2025)

Pippo: High-Resolution Multi-View Humans from a Single Image. - Yash Kant; Ethan Weber; Jin Kyu Kim; Rawal Khirodkar; Su Zhaoen; Julieta Martinez 001; Igor Gilitschenski; Shunsuke Saito; Timur M. Bagautdinov (CVPR, 2025)

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation. - Koichi Namekata; Sherwin Bahmani; Ziyi Wu; Yash Kant; Igor Gilitschenski; David B. Lindell (ICLR, 2025)

Fillerbuster: Multi-View Scene Completion for Casual Captures. - Ethan Weber; Norman Müller; Yash Kant; Vasu Agrawal; Michael Zollhöfer; Angjoo Kanazawa; Christian Richardt (CoRR, 2025)