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Yash Kant
Yash Kant
Email confirmado em mail.utoronto.ca - Página inicial
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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
1002020
Housekeep: Tidying Virtual Households using Commonsense Reasoning
Y Kant, A Ramachandran, S Yenamandra, I Gilitschenski, D Batra, A Szot, ...
ECCV, 2022, 2022
732022
Contrast and Classify: Training Robust VQA Models
Y Kant, A Moudgil, D Batra, D Parikh, H Agrawal
ICCV, 2021, 2021
38*2021
LaTeRF: Label and Text Driven Object Radiance Fields
A Mirzaei, Y Kant, J Kelly, I Gilitschenski
ECCV, 2022, 2022
332022
SPAD: Spatially Aware Multiview Diffusers
Y Kant, Z Wu, M Vasilkovsky, G Qian, J Ren, RA Guler, B Ghanem, ...
CVPR, 2024, 2024
242024
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
242021
iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis
Y Kant, A Siarohin, M Vasilkovsky, RA Guler, J Ren, S Tulyakov, ...
SIGGRAPH Asia, 2023, 2023
112023
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
102024
Invertible Neural Skinning
Y Kant, A Siarohin, RA Guler, M Chai, J Ren, S Tulyakov, I Gilitschenski
CVPR, 2023, 2023
72023
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
62023
AvatarOne: Monocular 3D Human Animation
A Karthikeyan, R Ren, Y Kant, I Gilitschenski
WACV, 2024, 2024
52024
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
K Namekata, S Bahmani, Z Wu, Y Kant, I Gilitschenski, DB Lindell
arXiv preprint arXiv:2411.04989, 2024
32024
NarrationBot and InfoBot: A Hybrid System for Automated Video Description
S Ihorn, YT Siu, A Bodi, L Narins, JM Castanon, Y Kant, A Das, I Yoon, ...
arXiv preprint arXiv:2111.03994, 2021
22021
Iclr reproducibility challenge report (padam: Closing the generalization gap of adaptive gradient methods in training deep neural networks)
H Mittal, K Pandey, Y Kant
arXiv preprint arXiv:1901.09517, 2019
22019
Realistic Evaluation of Model Merging for Compositional Generalization
D Tam, Y Kant, B Lester, I Gilitschenski, C Raffel
arXiv preprint arXiv:2409.18314, 2024
12024
Building Scalable Video Understanding Benchmarks through Sports
A Agarwal, A Zhang, K Narasimhan, I Gilitschenski, V Murahari, Y Kant
arXiv preprint arXiv:2301.06866, 2023
12023
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