Papers
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion
Haoyue Liu, Jinghan Xu, Yi Chang et al.
TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation
Yabiao Wang, Shuo Wang, Jiangning Zhang et al.
TinyFusion: Diffusion Transformers Learned Shallow
Gongfan Fang, Kunjun Li, Xinyin Ma et al.
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser et al.
Token Cropr: Faster ViTs for Quite a Few Tasks
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
Liao Qu, Huichao Zhang, Yiheng Liu et al.
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization
Liang Pan, Zeshi Yang, Zhiyang Dou et al.
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
Jiuchen Chen, Xinyu Yan, Qizhi Xu et al.
TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation
Ruineng Li, Daitao Xing, Huiming Sun et al.
TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression
Xinjie Wang, Yifan Zhang, Ting Liu et al.
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
Meilong Xu, Saumya Gupta, Xiaoling Hu et al.
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
Cheng Yang, Yang Sui, Jinqi Xiao et al.
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Zhenghao Zhang, Junchao Liao, Menghao Li et al.
Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
Yuanbo Wang, Zhaoxuan Zhang, Jiajin Qiu et al.
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
Du Chen, Tianhe Wu, Kede Ma et al.
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen
Toward Robust Neural Reconstruction from Sparse Point Sets
Amine Ouasfi, Shubhendu Jena, Eric Marchand et al.
Towards All-in-One Medical Image Re-Identification
Yuan Tian, Kaiyuan Ji, Rongzhao Zhang et al.
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content
Rohit Kundu, Hao Xiong, Vishal Mohanty et al.
Towards Autonomous Micromobility through Scalable Urban Simulation
Wayne Wu, Honglin He, Chaoyuan Zhang et al.
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
Zijing Hu, Fengda Zhang, Long Chen et al.
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
Xiaohan Qin, Xiaoxing Wang, Junchi Yan
Towards Continual Universal Segmentation
Zihan Lin, Zilei Wang, Xu Wang
Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning
Tianxiang Yin, Ningzhong Liu, Han Sun
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
Li Lun, Kunyu Feng, Qinglong Ni et al.