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Conference and Workshop Papers
- 2024
[c10]Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski:
SPAD: Spatially Aware Multi-View Diffusers. CVPR 2024: 10026-10038- [c9]Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski:
AvatarOne: Monocular 3D Human Animation. WACV 2024: 3635-3645 - 2023
- [c8]Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski:
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CVPR Workshops 2023: 6587-6597 - [c7]Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
Invertible Neural Skinning. CVPR 2023: 8715-8725 - [c6]Yash Kant
, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
Repurposing Diffusion Inpainters for Novel View Synthesis. SIGGRAPH Asia 2023: 16:1-16:12 - 2022
- [c5]Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski:
LaTeRF: Label and Text Driven Object Radiance Fields. ECCV (3) 2022: 20-36 - [c4]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) 2022: 355-373 - 2021
- [c3]Aditya Bodi, Pooyan Fazli, Shasta Ihorn, Yue-Ting Siu, Andrew T. Scott, Lothar Narins, Yash Kant, Abhishek Das, Ilmi Yoon:
Automated Video Description for Blind and Low Vision Users. CHI Extended Abstracts 2021: 230:1-230:7 - [c2]Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal:
Contrast and Classify: Training Robust VQA Models. ICCV 2021: 1584-1593 - 2020
- [c1]Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. ECCV (9) 2020: 715-732
Informal and Other Publications
- 2024
- [i14]Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov:
AToM: Amortized Text-to-Mesh using 2D Diffusion. CoRR abs/2402.00867 (2024) - [i13]Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin:
SPAD : Spatially Aware Multiview Diffusers. CoRR abs/2402.05235 (2024) - [i12]Zhenggang Tang, Peiye Zhuang, Chaoyang Wang, Aliaksandr Siarohin, Yash Kant, Alexander G. Schwing, Sergey Tulyakov, Hsin-Ying Lee:
Pixel-Aligned Multi-View Generation with Depth Guided Decoder. CoRR abs/2408.14016 (2024) - [i11]Derek Tam, Yash Kant, Brian Lester, Igor Gilitschenski, Colin Raffel:
Realistic Evaluation of Model Merging for Compositional Generalization. CoRR abs/2409.18314 (2024) - 2023
- [i10]Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant:
Building Scalable Video Understanding Benchmarks through Sports. CoRR abs/2301.06866 (2023) - [i9]Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
Invertible Neural Skinning. CoRR abs/2302.09227 (2023) - [i8]Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski:
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CoRR abs/2304.06937 (2023) - [i7]Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski:
iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis. CoRR abs/2310.16167 (2023) - [i6]Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui, Hsin-Ying Lee:
Virtual Pets: Animatable Animal Generation in 3D Scenes. CoRR abs/2312.14154 (2023) - 2022
- [i5]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR abs/2205.10712 (2022) - [i4]Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski:
LaTeRF: Label and Text Driven Object Radiance Fields. CoRR abs/2207.01583 (2022) - 2020
- [i3]Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. CoRR abs/2007.12146 (2020) - [i2]Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal:
Contrast and Classify: Alternate Training for Robust VQA. CoRR abs/2010.06087 (2020) - 2019
- [i1]Harshal Mittal, Kartikey Pandey, Yash Kant:
ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks). CoRR abs/1901.09517 (2019)
Coauthor Index
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