Papers
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye et al.
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi et al.
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild
Mingzhen Huang, Supreeth Narasimhaswamy, Saif Vazir et al.
Fourier Document Restoration for Robust Document Dewarping and Recognition
Chuhui Xue, Zichen Tian, Fangneng Zhan et al.
Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-Time
Liao Wang, Jiakai Zhang, Xinhang Liu et al.
Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon, Koki Nagano, Sanja Fidler et al.
Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning
Minghao Chen, Fangyun Wei, Chong Li et al.
FreeSOLO: Learning To Segment Objects Without Annotations
Xinlong Wang, Zhiding Yu, Shalini De Mello et al.
Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo, Qinliang Lin, Weicheng Xie et al.
From Representation to Reasoning: Towards Both Evidence and Commonsense Reasoning for Video Question-Answering
Jiangtong Li, Li Niu, Liqing Zhang
FS6D: Few-Shot 6D Pose Estimation of Novel Objects
Yisheng He, Yao Wang, Haoqiang Fan et al.
f-SfT: Shape-From-Template With a Physics-Based Deformation Model
Navami Kairanda, Edith Tretschk, Mohamed Elgharib et al.
Full-Range Virtual Try-On With Recurrent Tri-Level Transform
Han Yang, Xinrui Yu, Ziwei Liu
Future Transformer for Long-Term Action Anticipation
Dayoung Gong, Joonseok Lee, Manjin Kim et al.
FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction
Zhenpei Yang, Zhile Ren, Miguel Angel Bautista et al.
FWD: Real-Time Novel View Synthesis With Forward Warping and Depth
Ang Cao, Chris Rockwell, Justin Johnson
Gait Recognition in the Wild With Dense 3D Representations and a Benchmark
Jinkai Zheng, Xinchen Liu, Wu Liu et al.
GanOrCon: Are Generative Models Useful for Few-Shot Segmentation?
Oindrila Saha, Zezhou Cheng, Subhransu Maji
GANSeg: Learning To Segment by Unsupervised Hierarchical Image Generation
Xingzhe He, Bastian Wandt, Helge Rhodin
GAN-Supervised Dense Visual Alignment
William Peebles, Jun-Yan Zhu, Richard Zhang et al.
GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation
Alberto Bailoni, Constantin Pape, Nathan Hütsch et al.
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings
Zhaohua Zheng, Jianfang Li, Lingjie Zhu et al.
GaTector: A Unified Framework for Gaze Object Prediction
Binglu Wang, Tao Hu, Baoshan Li et al.
Gated2Gated: Self-Supervised Depth Estimation From Gated Images
Amanpreet Walia, Stefanie Walz, Mario Bijelic et al.