2025 Papers
21,856 papers found • Page 406 of 438
TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
BO HU, Tat-Jen Cham
TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences
Soowoong Kim, Minseong Kwon, Junho Choi et al.
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
linwei dong, Qingnan Fan, Yihong Guo et al.
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
Xiang Meng, Mehdi Makni, Rahul Mazumder
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
Yanjun Fu, Faisal Hamman, Sanghamitra Dutta
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
Shibo Feng, Wanjin Feng, Xingyu Gao et al.
TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.
TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization
Songtao Lu
TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond
Kun Zhou, Xinyu Lin, Jiangbo Lu
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
Kanghui Ning, Zijie Pan, Yu Liu et al.
TS-SNN: Temporal Shift Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Qi Xu et al.
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan, Bohan Zhuang, De-An Huang et al.
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
Shuai Lyu, Zijing Tian, Zhonghong Ou et al.
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
Liangzu Peng, Juan Elenter, Joshua Agterberg et al.
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
Haoyuan Liang, Xinyu Zhang, Shilei Cao et al.
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
Feiyang Wang, Xingquan Zuo, Hai Huang et al.
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.
TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer
Lusen Zhao, Zihan Huang, Ding Jianhao et al.
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo, Kaiyan Zhang, Li Sheng et al.
TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation
Zhekai Chen, Ruihang Chu, Yukang Chen et al.
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
Mingxi Lei, Chunwei Ma, Meng Ding et al.
TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
Felipe Nuti, Tim Franzmeyer, Joao Henriques
TULIP: Token-length Upgraded CLIP
Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki Asano et al.
TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo et al.
Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting
Yian Zhao, rushi ye, Ruochong Zheng et al.
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
Zhen Tan, Jie Peng, Song Wang et al.
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
Yifan Yang, Hao Ban, Minhui Huang et al.
Tuning Frequency Bias of State Space Models
Annan Yu, Dongwei Lyu, Soon Hoe Lim et al.
Tuning LLM Judge Design Decisions for 1/1000 of the Cost
David Salinas, Omar Swelam, Frank Hutter
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
Kyurae Kim, Zuheng Xu, Jacob Gardner et al.
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
Tiago Novello, Diana Aldana Moreno, André Araujo et al.
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao, Zhengyuan Yang, Kevin Lin et al.
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
Jingjing Ren, Wenbo Li, Zhongdao Wang et al.
Turbo3D: Ultra-fast Text-to-3D Generation
Hanzhe Hu, Tianwei Yin, Fujun Luan et al.
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
Pratik Rathore, Zachary Frangella, Sachin Garg et al.
TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting
Liangbin Xie, Daniil Pakhomov, Zhonghao Wang et al.
TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
Shaocheng Yan, Pengcheng Shi, Zhenjun Zhao et al.
TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction
Zewei Zhou, Zhihao Zhao, Tianhui Cai et al.
TurboVSR: Fantastic Video Upscalers and Where to Find Them
Zhongdao Wang, Guodongfang Zhao, Jingjing Ren et al.
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
Tal Fiskus, Uri Shaham
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
Minh Nguyen, Andrew Baker, Clement Neo et al.
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li, Mingchen LI, Ruisheng Diao
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim et al.
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
Gihyun Kwon, Jong Chul YE
Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning
Chaofan Lin, Jiaming Tang, Shuo Yang et al.
TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
Yuzhe YANG, Yifei Zhang, Minghao Wu et al.
Twinner: Shining Light on Digital Twins in a Few Snaps
Jesus Zarzar, Tom Monnier, Roman Shapovalov et al.
TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning
Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis Koelma et al.
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation
Yu Qi, Yuanchen Ju, Tianming Wei et al.