Papers
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement
Chuanjun Zheng, Daming Shi, Wentian Shi
A Dark Flash Normal Camera
Zhihao Xia, Jason Lawrence, Supreeth Achar
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng et al.
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang, Xuanran He, Jingdong Wang et al.
AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
Yudong Guo, Keyu Chen, Sen Liang et al.
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
Yangyu Huang, Hao Yang, Chong Li et al.
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan, Yuefeng Chen, Dantong Niu et al.
Adversarial Attack on Deep Cross-Modal Hamming Retrieval
Chao Li, Shangqian Gao, Cheng Deng et al.
Adversarial Attacks Are Reversible With Natural Supervision
Chengzhi Mao, Mia Chiquier, Hao Wang et al.
Adversarial Attacks on Multi-Agent Communication
James Tu, Tsunhsuan Wang, Jingkang Wang et al.
Adversarial Example Detection Using Latent Neighborhood Graph
Ahmed Abusnaina, Yuhang Wu, Sunpreet Arora et al.
Adversarial Robustness for Unsupervised Domain Adaptation
Muhammad Awais, Fengwei Zhou, Hang Xu et al.
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate
Xiaofeng Liu, Zhenhua Guo, Site Li et al.
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models
Linjie Li, Jie Lei, Zhe Gan et al.
AdvRush: Searching for Adversarially Robust Neural Architectures
Jisoo Mok, Byunggook Na, Hyeokjun Choe et al.
AESOP: Abstract Encoding of Stories, Objects, and Pictures
Hareesh Ravi, Kushal Kafle, Scott Cohen et al.
A General Recurrent Tracking Framework Without Real Data
Shuai Wang, Hao Sheng, Yang Zhang et al.
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou et al.
Aggregation With Feature Detection
Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi et al.
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning
Hong Wang, Yuefan Deng, Shinjae Yoo et al.
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models
Jie Li, Rongrong Ji, Peixian Chen et al.
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
Shelly Sheynin, Sagie Benaim, Lior Wolf
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction
Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian
A Hybrid Frequency-Spatial Domain Model for Sparse Image Reconstruction in Scanning Transmission Electron Microscopy
Bintao He, Fa Zhang, Huanshui Zhang et al.
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Zhian Liu, Yongwei Nie, Chengjiang Long et al.