Papers
Relaxing Contrastiveness in Multimodal Representation Learning
Zudi Lin, Erhan Bas, Kunwar Yashraj Singh et al.
Representation Disentanglement in Generative Models With Contrastive Learning
Shentong Mo, Zhun Sun, Chao Li
Representation Recovering for Self-Supervised Pre-Training on Medical Images
Xiangyi Yan, Junayed Naushad, Shanlin Sun et al.
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Atsuyuki Miyai, Qing Yu, Daiki Ikami et al.
Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation With Active Learning and Self-Training
Qi Feng, Kun He, He Wen et al.
Revisiting Training-Free NAS Metrics: An Efficient Training-Based Method
Taojiannan Yang, Linjie Yang, Xiaojie Jin et al.
RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow
Ben Usman, Dina Bashkirova, Kate Saenko
RNAS-MER: A Refined Neural Architecture Search With Hybrid Spatiotemporal Operations for Micro-Expression Recognition
Monu Verma, Priyanka Lubal, Santosh Kumar Vipparthi et al.
Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition
Junmo Cho, Seungjae Han, Eun-Seo Cho et al.
Robustness of Trajectory Prediction Models Under Map-Based Attacks
Zhihao Zheng, Xiaowen Ying, Zhen Yao et al.
Robust Real-World Image Enhancement Based on Multi-Exposure LDR Images
Haoyu Ren, Yi Fan, Stephen Huang
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy
JunKyu Lee, Blesson Varghese, Hans Vandierendonck
RSF: Optimizing Rigid Scene Flow From 3D Point Clouds Without Labels
David Deng, Avideh Zakhor
SAILOR: Scaling Anchors via Insights Into Latent Object Representation
Dušan Malić, Christian Fruhwirth-Reisinger, Horst Possegger et al.
SALAD: Source-Free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti et al.
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha, Kaushik Roy
SAT: Scale-Augmented Transformer for Person Search
Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer et al.
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
Frank Yu, Sid Fels, Helge Rhodin
Scaling Novel Object Detection With Weakly Supervised Detection Transformers
Tyler LaBonte, Yale Song, Xin Wang et al.
ScanNeRF: A Scalable Benchmark for Neural Radiance Fields
Luca De Luigi, Damiano Bolognini, Federico Domeniconi et al.
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr et al.
SCTS: Instance Segmentation of Single Cells Using a Transformer-Based Semantic-Aware Model and Space-Filling Augmentation
Yating Zhou, Wenjing Li, Ge Yang
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution
Shwai He, Chenbo Jiang, Daize Dong et al.
SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation
Guowei Li, Dongchen Zhu, Guanghui Zhang et al.