Papers
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma et al.
Thermal Spread Functions (TSF): Physics-Guided Material Classification
Aniket Dashpute, Vishwanath Saragadam, Emma Alexander et al.
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector
Caixia Zhou, Yaping Huang, Mengyang Pu et al.
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction
Alexandros Stergiou, Dima Damen
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
Xiaosong Jia, Penghao Wu, Li Chen et al.
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
Yun-Hao Cao, Peiqin Sun, Shuchang Zhou
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen et al.
TINC: Tree-Structured Implicit Neural Compression
Runzhao Yang
TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models
Sucheng Ren, Fangyun Wei, Zheng Zhang et al.
TIPI: Test Time Adaptation With Transformation Invariance
A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim et al.
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering
Jaehoon Choi, Dongki Jung, Taejae Lee et al.
Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
Tianjiao Li, Lin Geng Foo, Ping Hu et al.
Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Heliang Zheng, Yibing Zhan et al.
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
Cheng Zhang, Hai Liu, Yongjian Deng et al.
Token Turing Machines
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya et al.
TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
Bingnan Yang, Mi Zhang, Zhan Zhang et al.
Top-Down Visual Attention From Analysis by Synthesis
Baifeng Shi, Trevor Darrell, Xin Wang
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
Hao Yu, Xu Cheng, Wei Peng
TopNet: Transformer-Based Object Placement Network for Image Compositing
Sijie Zhu, Zhe Lin, Scott Cohen et al.
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc et al.
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
Xinglin Li, Jiajing Chen, Jinhui Ouyang et al.
Toward Accurate Post-Training Quantization for Image Super Resolution
Zhijun Tu, Jie Hu, Hanting Chen et al.
Toward RAW Object Detection: A New Benchmark and a New Model
Ruikang Xu, Chang Chen, Jingyang Peng et al.
Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization
Mengqi Huang, Zhendong Mao, Zhuowei Chen et al.
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
Weijie Su, Xizhou Zhu, Chenxin Tao et al.