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ORCIDAnimesh Sinha
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2020 – today
- 2026
[c8]Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He:
Conversational Image Generation: Towards Multi-Round Personalized Generation with Multi-Modal Language Models. WACV 2026: 8282-8291- [i15]Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Meng Dong, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He:
Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs. CoRR abs/2601.20911 (2026) - [i14]Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei Yang, Chunyuan Li, Junzhe Sun, Chu Wang, Serena Yeung-Levy, Felix Juefei-Xu:
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling. CoRR abs/2602.12279 (2026) - [i13]Philippe Hansen-Estruch, Jiahui Chen, Vivek Ramanujan, Orr Zohar, Yan Ping, Animesh Sinha, Markos Georgopoulos, Edgar Schönfeld, Ji Hou, Felix Juefei-Xu, Sriram Vishwanath, Ali K. Thabet:
ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters. CoRR abs/2605.05331 (2026) - 2025
- [c7]Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu:
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. CVPR 2025: 13146-13156 - [i12]Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu
:
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. CoRR abs/2502.07802 (2025) - [i11]Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen:
MoCha: Towards Movie-Grade Talking Character Synthesis. CoRR abs/2503.23307 (2025) - 2024
- [j2]Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar:
Deep reinforcement learning in chemistry: A review. J. Comput. Chem. 45(22, August): 1886-1898 (2024) - [c6]Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa:
GenTron: Diffusion Transformers for Image and Video Generation. CVPR 2024: 6441-6451 - [c5]Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan:
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. ECCV (70) 2024: 36-52 - [c4]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. ECCV (77) 2024: 375-391 - [i10]Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, Li Chen, Ankit Jain, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha:
Imagine yourself: Tuning-Free Personalized Image Generation. CoRR abs/2409.13346 (2024) - [i9]Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu:
DirectorLLM for Human-Centric Video Generation. CoRR abs/2412.14484 (2024) - 2023
- [j1]Utkarsh Azad, Animesh Sinha:
qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits. Quantum Inf. Process. 22(6): 256 (2023) - [i8]Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan:
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR abs/2311.10794 (2023) - [i7]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. CoRR abs/2312.03584 (2023) - [i6]Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa:
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation. CoRR abs/2312.04557 (2023) - [i5]Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava:
Gen2Det: Generate to Detect. CoRR abs/2312.04566 (2023) - 2022
- [c3]Animesh Sinha, Utkarsh Azad, Harjinder Singh:
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search. AAAI 2022: 9935-9943 - [c2]Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang:
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. EMNLP 2022: 10484-10497 - [c1]Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang:
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. KDD 2022: 4433-4442 - [i4]Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang:
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. CoRR abs/2202.07247 (2022) - [i3]Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang:
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. CoRR abs/2210.15028 (2022) - 2021
- [i2]Animesh Sinha, Utkarsh Azad, Harjinder Singh:
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search. CoRR abs/2104.01992 (2021) - [i1]Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan:
Large-Scale Attribute-Object Compositions. CoRR abs/2105.11373 (2021)
Coauthor Index
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