321 citations · 1.8k across the 66 of their papers we have counts for
12 papers · 1 filter
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
Jing Liu, Jiaxiang Wang, Weikang Wang +1
As moving objects always draw more attention of human eyes, the temporal motive information is always exploited complementarily with spatial information to detect salient objects i…
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
Runzhong Wang, Tianqi Zhang, Tianshu Yu +2
Graph Edit Distance (GED) is a popular similarity measurement for pairwise graphs and it also refers to the recovery of the edit path from the source graph to the target graph. Tra…
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
Weixia Zhang, Chao Ma, Qi Wu +1
The emerging vision-and-language navigation (VLN) problem aims at learning to navigate an agent to the target location in unseen photo-realistic environments according to the given…
Hierarchical Style-based Networks for Motion Synthesis
Jingwei Xu, Huazhe Xu, Bingbing Ni +3
Generating diverse and natural human motion is one of the long-standing goals for creating intelligent characters in the animated world. In this paper, we propose a self-supervised…
Cross-Modality 3D Object Detection
Ming Zhu, Chao Ma, Pan Ji +1
In this paper, we focus on exploring the fusion of images and point clouds for 3D object detection in view of the complementary nature of the two modalities, i.e., images possess m…
Robust Tracking against Adversarial Attacks
Shuai Jia, Chao Ma, Yibing Song +1
While deep convolutional neural networks (CNNs) are vulnerable to adversarial attacks, considerably few efforts have been paid to construct robust deep tracking algorithms against…
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
Ruixue Tang, Chao Ma, Wei Emma Zhang +2
Visual Question Answering (VQA) has achieved great success thanks to the fast development of deep neural networks (DNN). On the other hand, the data augmentation, as one of the maj…
Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan, Ying Tai, Bingbing Ni +3
The latent code of the recent popular model StyleGAN has learned disentangled representations thanks to the multi-layer style-based generator. Embedding a given image back to the l…
Video Prediction via Example Guidance
Jingwei Xu, Huazhe Xu, Bingbing Ni +2
In video prediction tasks, one major challenge is to capture the multi-modal nature of future contents and dynamics. In this work, we propose a simple yet effective framework that…
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds
Zhongpai Gao, Guangtao Zhai, Junchi Yan +1
It has witnessed a growing demand for efficient representation learning on point clouds in many 3D computer vision applications. Behind the success story of convolutional neural ne…
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
Weixia Zhang, Kede Ma, Guangtao Zhai +1
Performance of blind image quality assessment (BIQA) models has been significantly boosted by end-to-end optimization of feature engineering and quality regression. Nevertheless, d…
Learning Local Neighboring Structure for Robust 3D Shape Representation
Zhongpai Gao, Junchi Yan, Guangtao Zhai +3
Mesh is a powerful data structure for 3D shapes. Representation learning for 3D meshes is important in many computer vision and graphics applications. The recent success of convolu…