4.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN85 papers
- Microsoft (United States)US82 papers
- Tsinghua UniversityCN81 papers
- University of Science and Technology of ChinaCN81 papers
- Hong Kong University of Science and TechnologyHK40 papers
- Beihang UniversityCN36 papers
- Chinese Academy of SciencesCN36 papers
- Shanghai Jiao Tong UniversityCN33 papers
- Microsoft Research (United Kingdom)GB28 papers
- Zhejiang UniversityCN28 papers
- Fudan UniversityCN24 papers
- Carnegie Mellon UniversityUS19 papers
34 papers · 2 filters
Learning content and context with language bias for Visual Question Answering
Chao Yang, Su Feng, Dongsheng Li +3
Visual Question Answering (VQA) is a challenging multimodal task to answer questions about an image. Many works concentrate on how to reduce language bias which makes models answer…
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild
Zhe Zhang, Chunyu Wang, Weichao Qiu +2
Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make…
Improving Person Re-identification with Iterative Impression Aggregation
Dengpan Fu, Bo Xin, Jingdong Wang +4
Our impression about one person often updates after we see more aspects of him/her and this process keeps iterating given more meetings. We formulate such an intuition into the pro…
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Wei Hu, QiHao Zhao, Yangyu Huang +1
Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this…
Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
Zhipeng Zhang, Bing Li, Weiming Hu +1
The encoding of the target in object tracking moves from the coarse bounding-box to fine-grained segmentation map recently. Revisiting de facto real-time approaches that are capabl…
SegFix: Model-Agnostic Boundary Refinement for Segmentation
Yuhui Yuan, Jingyi Xie, Xilin Chen +1
We present a model-agnostic post-processing scheme to improve the boundary quality for the segmentation result that is generated by any existing segmentation model. Motivated by th…
Revisiting Anchor Mechanisms for Temporal Action Localization
Le Yang, Houwen Peng, Dingwen Zhang +2
Most of the current action localization methods follow an anchor-based pipeline: depicting action instances by pre-defined anchors, learning to select the anchors closest to the gr…
Object-based Illumination Estimation with Rendering-aware Neural Networks
Xin Wei, Guojun Chen, Yue Dong +2
We present a scheme for fast environment light estimation from the RGBD appearance of individual objects and their local image areas. Conventional inverse rendering is too computat…
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
Fangyun Wei, Xiao Sun, Hongyang Li +2
A recent approach for object detection and human pose estimation is to regress bounding boxes or human keypoints from a central point on the object or person. While this center-poi…
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images
Jiapeng Tang, Xiaoguang Han, Mingkui Tan +2
This paper focuses on the challenging task of learning 3D object surface reconstructions from RGB images. Existingmethods achieve varying degrees of success by using different surf…
Deep Sketch-guided Cartoon Video Inbetweening
Xiaoyu Li, Bo Zhang, Jing Liao +1
We propose a novel framework to produce cartoon videos by fetching the color information from two input keyframes while following the animated motion guided by a user sketch. The k…
Deep Photometric Stereo for Non-Lambertian Surfaces
Guanying Chen, Kai Han, Boxin Shi +2
This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a full…
Learning Joint Spatial-Temporal Transformations for Video Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao
High-quality video inpainting that completes missing regions in video frames is a promising yet challenging task. State-of-the-art approaches adopt attention models to complete a f…
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
Ailing Zeng, Xiao Sun, Fuyang Huang +3
Human poses that are rare or unseen in a training set are challenging for a network to predict. Similar to the long-tailed distribution problem in visual recognition, the small num…
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Xinwei Sun, Yilun Xu, Peng Cao +4
Fusing data from multiple modalities provides more information to train machine learning systems. However, it is prohibitively expensive and time-consuming to label each modality w…
Ocean: Object-aware Anchor-free Tracking
Zhipeng Zhang, Houwen Peng, Jianlong Fu +2
Anchor-based Siamese trackers have achieved remarkable advancements in accuracy, yet the further improvement is restricted by the lagged tracking robustness. We find the underlying…
VisImages: A Fine-Grained Expert-Annotated Visualization Dataset
Dazhen Deng, Yihong Wu, Xinhuan Shu +4
Images in visualization publications contain rich information, e.g., novel visualization designs and implicit design patterns of visualizations. A systematic collection of these im…
Learning Texture Transformer Network for Image Super-Resolution
Fuzhi Yang, Huan Yang, Jianlong Fu +2
We study on image super-resolution (SR), which aims to recover realistic textures from a low-resolution (LR) image. Recent progress has been made by taking high-resolution images a…
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Zihao Zhu, Jing Yu, Yujing Wang +3
Fact-based Visual Question Answering (FVQA) requires external knowledge beyond visible content to answer questions about an image, which is challenging but indispensable to achieve…
What makes instance discrimination good for transfer learning?
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau +1
Contrastive visual pretraining based on the instance discrimination pretext task has made significant progress. Notably, recent work on unsupervised pretraining has shown to surpas…
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng +2
Person Re-identification (ReID) aims at matching a person of interest across images. In convolutional neural network (CNN) based approaches, loss design plays a vital role in pulli…
Deep 3D Portrait from a Single Image
Sicheng Xu, Jiaolong Yang, Dong Chen +4
In this paper, we present a learning-based approach for recovering the 3D geometry of human head from a single portrait image. Our method is learned in an unsupervised manner witho…
Bringing Old Photos Back to Life
Ziyu Wan, Bo Zhang, Dongdong Chen +4
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised l…
A Transductive Approach for Video Object Segmentation
Yizhuo Zhang, Zhirong Wu, Houwen Peng +1
Semi-supervised video object segmentation aims to separate a target object from a video sequence, given the mask in the first frame. Most of current prevailing methods utilize info…