Papers
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs
Jingwei Ji, Ranjay Krishna, Li Fei-Fei et al.
Action Modifiers: Learning From Adverbs in Instructional Videos
Hazel Doughty, Ivan Laptev, Walterio Mayol-Cuevas et al.
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation
Min-Hung Chen, Baopu Li, Yingze Bao et al.
Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration
Fumihiko Sakaue, Jun Sato
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha et al.
Active Speakers in Context
Juan Leon Alcazar, Fabian Caba, Long Mai et al.
Active Vision for Early Recognition of Human Actions
Boyu Wang, Lihan Huang, Minh Hoai
Actor-Transformers for Group Activity Recognition
Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan et al.
AdaBits: Neural Network Quantization With Adaptive Bit-Widths
Qing Jin, Linjie Yang, Zhenyu Liao
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
Hyeongmin Lee, Taeoh Kim, Tae-young Chung et al.
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri et al.
Adaptive Dilated Network With Self-Correction Supervision for Counting
Shuai Bai, Zhiqun He, Yu Qiao et al.
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
Qiuyu Chen, Wei Zhang, Ning Zhou et al.
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection
Kaihua Zhang, Tengpeng Li, Shiwen Shen et al.
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani et al.
Adaptive Interaction Modeling via Graph Operations Search
Haoxin Li, Wei-Shi Zheng, Yu Tao et al.
Adaptive Loss-Aware Quantization for Multi-Bit Networks
Zhongnan Qu, Zimu Zhou, Yun Cheng et al.
Adaptive Subspaces for Few-Shot Learning
Christian Simon, Piotr Koniusz, Richard Nock et al.
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification
Yunpeng Zhai, Shijian Lu, Qixiang Ye et al.
AdderNet: Do We Really Need Multiplications in Deep Learning?
Hanting Chen, Yunhe Wang, Chunjing Xu et al.
ADINet: Attribute Driven Incremental Network for Retinal Image Classification
Qier Meng, Satoh Shin'ichi
A Disentangling Invertible Interpretation Network for Explaining Latent Representations
Patrick Esser, Robin Rombach, Bjorn Ommer
Advancing High Fidelity Identity Swapping for Forgery Detection
Lingzhi Li, Jianmin Bao, Hao Yang et al.
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles
Ranjie Duan, Xingjun Ma, Yisen Wang et al.
Adversarial Examples Improve Image Recognition
Cihang Xie, Mingxing Tan, Boqing Gong et al.