Poster Papers
24,624 papers found • Page 471 of 493
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu, Jiang-Tian Zhai, Andrew Bagdanov et al.
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
Daan de Geus, Gijs Dubbelman
Task-Aware Encoder Control for Deep Video Compression
Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.
Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
Yusong Hu, De Cheng, Dingwen Zhang et al.
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
Pierre Marza, Laetitia Matignon, Olivier Simonin et al.
Task-Customized Mixture of Adapters for General Image Fusion
Pengfei Zhu, Yang Sun, Bing Cao et al.
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
Jin Yang, Ping Wei, Huan Li et al.
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen, Rizwan Ahmad, Phillip Schniter
Task-Driven Wavelets using Constrained Empirical Risk Minimization
Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke et al.
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
Yongxian Wei, Zixuan Hu, Li Shen et al.
Task Planning for Visual Room Rearrangement under Partial Observability
Karan Mirakhor, Sourav Ghosh, DIPANJAN DAS et al.
Task structure and nonlinearity jointly determine learned representational geometry
Matteo Alleman, Jack Lindsey, Stefano Fusi
TC4D: Trajectory-Conditioned Text-to-4D Generation
Sherwin Bahmani, Xian Liu, Wang Yifan et al.
T-Cal: An Optimal Test for the Calibration of Predictive Models
Donghwan Lee, Xinmeng Huang, Hamed Hassani et al.
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
Jeongho Kim, Min-Jung Kim, Junsoo Lee et al.
TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection
Jan Skvrna, Lukas Neumann
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving
Cheng Zhao, su sun, Ruoyu Wang et al.
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy
Fan Duan, Jiahao Yu, Li Chen
TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
Hantao Yao, Rui Zhang, Changsheng Xu
Teach CLIP to Develop a Number Sense for Ordinal Regression
Yao DU, Qiang Zhai, Weihang Dai et al.
Teaching Arithmetic to Small Transformers
Nayoung Lee, Kartik Sreenivasan, Jason Lee et al.
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Erik Jones, Hamid Palangi, Clarisse Ribeiro et al.
Teaching Large Language Models to Self-Debug
Xinyun Chen, Maxwell Lin, Nathanael Schaerli et al.
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Sixiang Chen, Tian Ye, Kai Zhang et al.
Teach LLMs to Phish: Stealing Private Information from Language Models
Ashwinee Panda, Christopher Choquette-Choo, Zhengming Zhang et al.
TEA: Test-time Energy Adaptation
Yige Yuan, Bingbing Xu, Liang Hou et al.
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
Ruonan Yu, Songhua Liu, Jingwen Ye et al.
TEDDY: Trimming Edges with Degree-based Discrimination Strategy
Hyunjin Seo, Jihun Yun, Eunho Yang
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge
Bo Zou, Shaofeng Wang, Hao Liu et al.
Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur et al.
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu et al.
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
Xuying Zhang, Bo-Wen Yin, yuming chen et al.
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
Zixuan Fu, Lanqing Guo, Chong Wang et al.
Temporal Event Stereo via Joint Learning with Stereoscopic Flow
Hoonhee Cho, Jae-young Kang, Kuk-Jin Yoon
Temporally Consistent Stereo Matching
Jiaxi Zeng, Chengtang Yao, Yuwei Wu et al.
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
Ming Xu, Stephen Gould
Temporal-Mapping Photography for Event Cameras
Yuhan Bao, Lei Sun, Yuqin Ma et al.
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Lin Zhu, Yunlong Zheng, Yijun Zhang et al.
Temporal Residual Jacobians for Rig-free Motion Transfer
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri et al.
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
Chongjie Si, Xuehui Wang, Xiaokang Yang et al.
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
Zhuo Chen, Jacob McCarran, Esteban Vizcaino et al.
Tensorial template matching for fast cross-correlation with rotations and its application for tomography
Antonio Martinez-Sanchez, Ulrike Homberg, J. M. Almira et al.
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
Greg Yang, Dingli Yu, Chen Zhu et al.
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
Yichuan Mo, Hui Huang, Mingjie Li et al.
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun, Hongyan Li, Yaliang Li et al.
Test-time Adaptation against Multi-modal Reliability Bias
Mouxing Yang, Yunfan Li, Changqing Zhang et al.
Test-Time Adaptation for Depth Completion
Hyoungseob Park, Anjali W Gupta, Alex Wong
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Shuai Zhao, Xiaohan Wang, Linchao Zhu et al.
Test-Time Domain Generalization for Face Anti-Spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao et al.