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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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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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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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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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12/08/2021
Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition
In the context of skeleton-based action recognition, graph convolutional...
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11/19/2021
Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
Conventional domain generalization aims to learn domain invariant repres...
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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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07/28/2021
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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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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02/23/2021
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
It is a strong prerequisite to access source data freely in many existin...
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02/01/2021
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection
False positive is one of the most serious problems brought by agnostic d...
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12/10/2020
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
Unsupervised domain adaptation (UDA) assumes that source and target doma...
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10/02/2020
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
In this paper, we investigate the problem of text-to-pedestrian synthesi...
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07/29/2020
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
Graph Convolutional Networks (GCNs) have attracted increasing interests ...
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06/20/2020
Unsupervised Image Classification for Deep Representation Learning
Deep clustering against self-supervised learning is a very important and...
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04/26/2020
IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...
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02/28/2020
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
Layer assignment is seldom picked out as an independent research topic i...
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11/21/2019
An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy
Audio classification can distinguish different kinds of sounds, which is...
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03/13/2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Shift operation is an efficient alternative over depthwise separable con...
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03/04/2019
Collaborative Spatio-temporal Feature Learning for Video Action Recognition
Spatio-temporal feature learning is of central importance for action rec...
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12/17/2018
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Neuron pruning is an efficient method to compress the network into a sli...
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12/17/2018
Learning Incremental Triplet Margin for Person Re-identification
Person re-identification (ReID) aims to match people across multiple non...
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08/27/2018
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions
We propose a novel attentive sequence to sequence translator (ASST) for ...
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07/30/2018
Extreme Network Compression via Filter Group Approximation
In this paper we propose a novel decomposition method based on filter gr...
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07/04/2018
Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation
A critical issue in pedestrian detection is to detect small-scale object...
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05/16/2018
A practical convolutional neural network as loop filter for intra frame
Loop filters are used in video coding to remove artifacts or improve per...
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04/17/2018
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
Skeleton-based human action recognition has recently drawn increasing at...
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10/30/2017
Cascade Region Proposal and Global Context for Deep Object Detection
Deep region-based object detector consists of a region proposal step and...
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03/06/2017
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Deep neural network is difficult to train and this predicament becomes w...
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10/19/2016