Yash Kant

According to our database, Yash Kant authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Realistic Evaluation of Model Merging for Compositional Generalization.

Derek Tam, Yash Kant, Brian Lester, Igor Gilitschenski, Colin Raffel

CoRR, 2024

Pixel-Aligned Multi-View Generation with Depth Guided Decoder.

Zhenggang Tang, Peiye Zhuang, Chaoyang Wang, Aliaksandr Siarohin, Yash Kant, Alexander G. Schwing, Sergey Tulyakov, Hsin-Ying Lee

CoRR, 2024

SPAD : Spatially Aware Multiview Diffusers.

Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin

CoRR, 2024

AToM: Amortized Text-to-Mesh using 2D Diffusion.

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

CoRR, 2024

AvatarOne: Monocular 3D Human Animation.

Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SPAD: Spatially Aware Multi-View Diffusers.

Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski

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

2023

Virtual Pets: Animatable Animal Generation in 3D Scenes.

Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui, Hsin-Ying Lee

CoRR, 2023

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis.

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

CoRR, 2023

Building Scalable Video Understanding Benchmarks through Sports.

Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant

CoRR, 2023

Repurposing Diffusion Inpainters for Novel View Synthesis.

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos.

Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Invertible Neural Skinning.

Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LaTeRF: Label and Text Driven Object Radiance Fields.

Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski

Proceedings of the Computer Vision - ECCV 2022, 2022

Housekeep: Tidying Virtual Households Using Commonsense Reasoning.

Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Contrast and Classify: Training Robust VQA Models.

Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal

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

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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Contrast and Classify: Alternate Training for Robust VQA.

Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal

CoRR, 2020

Spatially Aware Multimodal Transformers for TextVQA.

Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

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