Papers
4,428 papers found
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.
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
Daehyun Ahn, Hyungjun Kim, Taesu Kim et al.
SeCo: Separating Unknown Musical Visual Sounds With Consistency Guidance
Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang et al.
Segmentation-Free Direct Iris Localization Networks
Takahiro Toizumi, Koichi Takahashi, Masato Tsukada
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
Jeonghyun Kim, Kaichun Mo, Minhyuk Sung et al.
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
Aadarsh Sahoo, Rameswar Panda, Rogerio Feris et al.
Self-Attention Message Passing for Contrastive Few-Shot Learning
Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad