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06/15/2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Network embedding, a graph representation learning method illustrating n...
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05/22/2023
Single Domain Dynamic Generalization for Iris Presentation Attack Detection
Iris presentation attack detection (PAD) has achieved great success unde...
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05/18/2023
Taxonomy Completion with Probabilistic Scorer via Box Embedding
Taxonomy completion, a task aimed at automatically enriching an existing...
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03/30/2023
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
Most existing approaches for point cloud normal estimation aim to locall...
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01/12/2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track
OOD-CV challenge is an out-of-distribution generalization task. To solve...
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01/12/2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track
OOD-CV challenge is an out-of-distribution generalization task. In this ...
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12/30/2022
NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation
Gaze estimation is the fundamental basis for many visual tasks. Yet, the...
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10/09/2022
Attention Diversification for Domain Generalization
Convolutional neural networks (CNNs) have demonstrated gratifying result...
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10/08/2022
FBNet: Feedback Network for Point Cloud Completion
The rapid development of point cloud learning has driven point cloud com...
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10/08/2022
Point Cloud Upsampling via Cascaded Refinement Network
Point cloud upsampling focuses on generating a dense, uniform and proxim...
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10/08/2022
Multi-Scale Wavelet Transformer for Face Forgery Detection
Currently, many face forgery detection methods aggregate spatial and fre...
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08/11/2022
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding
Video Object Grounding (VOG) is the problem of associating spatial objec...
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08/02/2022
Unified Normalization for Accelerating and Stabilizing Transformers
Solid results from Transformers have made them prevailing architectures ...
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07/14/2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Expandable networks have demonstrated their advantages in dealing with c...
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07/14/2022
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting
End-to-end text spotting has attached great attention recently due to it...
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07/13/2022
Semi-supervised Ranking for Object Image Blur Assessment
Assessing the blurriness of an object image is fundamentally important t...
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07/05/2022
Universal Domain Adaptive Object Detector
Universal domain adaptive object detection (UniDAOD)is more challenging ...
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06/14/2022
Slimmable Domain Adaptation
Vanilla unsupervised domain adaptation methods tend to optimize the mode...
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06/14/2022
Label Matching Semi-Supervised Object Detection
Semi-supervised object detection has made significant progress with the ...
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06/13/2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Self-training for unsupervised domain adaptive object detection is a cha...
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06/13/2022
Transductive CLIP with Class-Conditional Contrastive Learning
Inspired by the remarkable zero-shot generalization capacity of vision-l...
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06/13/2022
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach
Convolutional neural networks (CNNs) have achieved significant success i...
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05/23/2022
KRNet: Towards Efficient Knowledge Replay
The knowledge replay technique has been widely used in many tasks such a...
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05/23/2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
Exemplar-free incremental learning is extremely challenging due to inacc...
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04/01/2022
Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition
Automatic facial action unit (AU) recognition is a challenging task due ...
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04/01/2022
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection
Iris presentation attack detection (PAD) has achieved remarkable success...
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04/01/2022
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
Learning from a label distribution has achieved promising results on ord...
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03/15/2022
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Natural language spatial video grounding aims to detect the relevant obj...
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03/14/2022
Forward Compatible Few-Shot Class-Incremental Learning
Novel classes frequently arise in our dynamically changing world, e.g., ...
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02/25/2022
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
Knowledge graphs store a large number of factual triples while they are ...
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02/21/2022
Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing
Although previous CNN based face anti-spoofing methods have achieved pro...
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01/17/2022
UWC: Unit-wise Calibration Towards Rapid Network Compression
This paper introduces a post-training quantization (PTQ) method achievin...
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01/10/2022
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection
Although modern automatic speech recognition (ASR) systems can achieve h...
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12/02/2021
EngineKGI: Closed-Loop Knowledge Graph Inference
Knowledge Graph (KG) inference is the vital technique to address the nat...
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10/21/2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
Few-shot learning (FSL) aims to learn models that generalize to novel cl...
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09/06/2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
Designing optimal reward functions has been desired but extremely diffic...
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08/09/2021
TransForensics: Image Forgery Localization with Dense Self-Attention
Nowadays advanced image editing tools and technical skills produce tampe...
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07/30/2021
Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition
Automatic facial action unit (AU) recognition is a challenging task due ...
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07/28/2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Reconstruction-based methods play an important role in unsupervised anom...
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07/19/2021
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Multi-person pose estimation is an attractive and challenging task. Exis...
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06/04/2021
Entity Concept-enhanced Few-shot Relation Extraction
Few-shot relation extraction (FSRE) is of great importance in long-tail ...
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05/13/2021
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
Text recognition is a popular topic for its broad applications. In this ...
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05/13/2021
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
Table structure recognition is a challenging task due to the various str...
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05/13/2021
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
Document layout analysis is crucial for understanding document structure...
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03/24/2021
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
Point clouds can be represented in many forms (views), typically, point-...
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03/16/2021
Modulating Localization and Classification for Harmonized Object Detection
Object detection involves two sub-tasks, i.e. localizing objects in an i...
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03/05/2021
Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments
This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which e...
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02/24/2021
Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
In facial action unit (AU) recognition tasks, regional feature learning ...
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02/24/2021
Self-Domain Adaptation for Face Anti-Spoofing
Although current face anti-spoofing methods achieve promising results un...
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02/23/2021