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Yash Kant
Yash Kant
University of Toronto
Geverifieerd e-mailadres voor mail.utoronto.ca - Homepage
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Spatially Aware Multimodal Transformers for TextVQA
Y Kant, D Batra, P Anderson, A Schwing, D Parikh, J Lu, H Agrawal
ECCV, 2020, 2020
882020
Housekeep: Tidying Virtual Households using Commonsense Reasoning
Y Kant, A Ramachandran, S Yenamandra, I Gilitschenski, D Batra, A Szot, ...
ECCV, 2022, 2022
482022
Contrast and Classify: Training Robust VQA Models
Y Kant, A Moudgil, D Batra, D Parikh, H Agrawal
ICCV, 2021, 2021
28*2021
LaTeRF: Label and Text Driven Object Radiance Fields
A Mirzaei, Y Kant, J Kelly, I Gilitschenski
ECCV, 2022, 2022
222022
Automated Video Description for Blind and Low Vision Users
A Bodi, P Fazli, S Ihorn, YT Siu, AT Scott, L Narins, Y Kant, A Das, I Yoon
CHI Extended Abstracts, 2021, 1-7, 2021
142021
iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis
Y Kant, A Siarohin, M Vasilkovsky, RA Guler, J Ren, S Tulyakov, ...
SIGGRAPH Asia, 2023, 2023
52023
Invertible Neural Skinning
Y Kant, A Siarohin, RA Guler, M Chai, J Ren, S Tulyakov, I Gilitschenski
CVPR, 2023, 2023
42023
AToM: Amortized Text-to-Mesh using 2D Diffusion
G Qian, J Cao, A Siarohin, Y Kant, C Wang, M Vasilkovsky, HY Lee, ...
arXiv preprint arXiv:2402.00867, 2024
32024
SPAD: Spatially Aware Multiview Diffusers
Y Kant, Z Wu, M Vasilkovsky, G Qian, J Ren, RA Guler, B Ghanem, ...
CVPR, 2024, 2024
22024
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos
T Kuai, A Karthikeyan, Y Kant, A Mirzaei, I Gilitschenski
CVPR 2023 DynaVis Workshop, 2023
22023
ICLR Reproducibility Challenge Report (Padam: Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks)
H Mittal, K Pandey, Y Kant
ICLR Reproducibility Challenge 2019, 2019
22019
AvatarOne: Monocular 3D Human Animation
A Karthikeyan, R Ren, Y Kant, I Gilitschenski
WACV, 2024, 2024
2024
Virtual Pets: Animatable Animal Generation in 3D Scenes
YC Cheng, CH Lin, C Wang, Y Kant, S Tulyakov, A Schwing, L Gui, ...
arXiv preprint arXiv:2312.14154, 2023
2023
Building Scalable Video Understanding Benchmarks through Sports
A Agarwal, A Zhang, K Narasimhan, I Gilitschenski, V Murahari, Y Kant
Data-centric Machine Learning Research (DMLR) Workshop, ICLR 2024, 2023
2023
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Artikelen 1–14