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08/29/2023
PBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer
We present PBFormer, an efficient yet powerful scene text detector that ...
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08/15/2023
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
Visual chart recognition systems are gaining increasing attention due to...
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03/17/2023
Video Action Recognition with Attentive Semantic Units
Visual-Language Models (VLMs) have significantly advanced action video r...
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03/13/2023
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling
Table structure recognition aims to extract the logical and physical str...
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09/21/2022
FNeVR: Neural Volume Rendering for Face Animation
Face animation, one of the hottest topics in computer vision, has achiev...
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12/31/2021
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
Detecting 3D lanes from the camera is a rising problem for autonomous ve...
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05/26/2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
Recent years have witnessed significant progress in person re-identifica...
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05/17/2021
Layerwise Optimization by Gradient Decomposition for Continual Learning
Deep neural networks achieve state-of-the-art and sometimes super-human ...
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05/16/2021
Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification
Person images captured by surveillance cameras are often occluded by var...
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03/29/2021
Complementary Relation Contrastive Distillation
Knowledge distillation aims to transfer representation ability from a te...
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10/02/2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
One practice of employing deep neural networks is to apply the same arch...
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08/24/2020
Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID
In this technical report, we present our submission to the VisDA Challen...
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06/08/2020
Continual Representation Learning for Biometric Identification
With the explosion of digital data in recent years, continuously learnin...
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06/04/2020
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Domain adaptive object re-ID aims to transfer the learned knowledge from...
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05/16/2020
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
Recent years have witnessed great progress in person re-identification (...
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04/01/2020
Learning to Cluster Faces via Confidence and Connectivity Estimation
Face clustering is an essential tool for exploiting the unlabeled face d...
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03/16/2020
Adapting Object Detectors with Conditional Domain Normalization
Real-world object detectors are often challenged by the domain gaps betw...
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01/06/2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Person re-identification (re-ID) aims at identifying the same persons' i...
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08/14/2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Learning discriminative image feature embeddings is of great importance ...
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04/04/2019
Learning to Cluster Faces on an Affinity Graph
Face recognition sees remarkable progress in recent years, and its perfo...
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08/05/2018
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
Person re-identification is an important task that requires learning dis...
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07/30/2018
Deep Group-shuffling Random Walk for Person Re-identification
Person re-identification aims at finding a person of interest in an imag...
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07/26/2018
Person Re-identification with Deep Similarity-Guided Graph Neural Network
The person re-identification task requires to robustly estimate visual s...
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03/22/2018
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
The aim of image captioning is to generate similar captions by machine a...
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01/08/2018
Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection
For real-world driver drowsiness detection from videos, the variation of...
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12/19/2017
Learning Fixation Point Strategy for Object Detection and Classification
We propose a novel recurrent attentional structure to localize and recog...
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02/21/2017