1.4k citations · 2.2k across the 17 of their papers we have counts for
17 papers
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
Chenyu Li, Shiming Ge, Daichi Zhang +1
Many real-world applications today like video surveillance and urban governance need to address the recognition of masked faces, where content replacement by diverse masks often br…
Efficient Low-Resolution Face Recognition via Bridge Distillation
Shiming Ge, Shengwei Zhao, Chenyu Li +2
Face recognition in the wild is now advancing towards light-weight models, fast inference speed and resolution-adapted capability. In this paper, we propose a bridge distillation a…
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen, Limeng Qiao, Yemin Shi +5
Open set recognition is an emerging research area that aims to simultaneously classify samples from predefined classes and identify the rest as 'unknown'. In this process, one of t…
DanceIt: Music-inspired Dancing Video Synthesis
Xin Guo, Yifan Zhao, Jia Li
Close your eyes and listen to music, one can easily imagine an actor dancing rhythmically along with the music. These dance movements are usually made up of dance movements you hav…
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang, Yifan Zhao, Jia Li +1
Given base classes with sufficient labeled samples, the target of few-shot classification is to recognize unlabeled samples of novel classes with only a few labeled samples. Most e…
Is Depth Really Necessary for Salient Object Detection?
Jiawei Zhao, Yifan Zhao, Jia Li +1
Salient object detection (SOD) is a crucial and preliminary task for many computer vision applications, which have made progress with deep CNNs. Most of the existing methods mainly…
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao, Yemin Shi, Jia Li +3
Few-shot learning, which aims at extracting new concepts rapidly from extremely few examples of novel classes, has been featured into the meta-learning paradigm recently. Yet, the…
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning
Changqun Xia, Jia Li, Jinming Su +1
Typically, objects with the same semantics are not always prominent in images containing different backgrounds. Motivated by this observation that accurately salient object detecti…
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
Yafei Song, Di Zhu, Jia Li +2
In recent years, camera-based localization has been widely used for robotic applications, and most proposed algorithms rely on local features extracted from recorded images. For be…
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Jia Li, Kui Fu, Shengwei Zhao +1
The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks (CNNs). However, devices…
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Kui Fu, Peipei Shi, Yafei Song +3
Large convolutional neural network models have recently demonstrated impressive performance on video attention prediction. Conventionally, these models are with intensive computati…
Selectivity or Invariance: Boundary-aware Salient Object Detection
Jinming Su, Jia Li, Yu Zhang +2
Typically, a salient object detection (SOD) model faces opposite requirements in processing object interiors and boundaries. The features of interiors should be invariant to strong…
Visual Attention on the Sun: What Do Existing Models Actually Predict?
Jia Li, Daowei Li, Kui Fu +1
Visual attention prediction is a classic problem that seems to be well addressed in the deep learning era. One compelling concern, however, gradually arise along with the rapidly g…
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification
Jia Li, Yafei Song, Jianfeng Zhu +5
Many advances of deep learning techniques originate from the efforts of addressing the image classification task on large-scale datasets. However, the construction of such clean da…
Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions
Lishi Zhang, Chenghan Fu, Jia Li
Per-pixel masks of semantic objects are very useful in many applications, which, however, are tedious to be annotated. In this paper, we propose a human-agent collaborative annotat…
Salient Object Detection: A Benchmark
Ali Borji, Ming-Ming Cheng, Huaizu Jiang +1
We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 chal…
Salient Object Detection: A Survey
Ali Borji, Ming-Ming Cheng, Qibin Hou +2
Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have…