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07/18/2023
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
In this paper, we propose a novel and effective Multi-Level Fusion netwo...
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06/29/2023
Understanding the Overfitting of the Episodic Meta-training
Despite the success of two-stage few-shot classification methods, in the...
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05/12/2023
T-former: An Efficient Transformer for Image Inpainting
Benefiting from powerful convolutional neural networks (CNNs), learning-...
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04/06/2023
VPFusion: Towards Robust Vertical Representation Learning for 3D Object Detection
Efficient point cloud representation is a fundamental element of Lidar-b...
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03/18/2023
MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking
The main challenge of Multi-Object Tracking (MOT) lies in maintaining a ...
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06/23/2022
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
The main challenge of Temporal Action Localization is to retrieve subtle...
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05/26/2022
Social Interpretable Tree for Pedestrian Trajectory Prediction
Understanding the multiple socially-acceptable future behaviors is an es...
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01/06/2022
TransVPR: Transformer-based place recognition with multi-level attention aggregation
Visual place recognition is a challenging task for applications such as ...
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11/14/2021
Auxiliary Loss Adaption for Image Inpainting
Auxiliary losses commonly used in image inpainting lead to better recons...
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07/31/2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
Understanding complex social interactions among agents is a key challeng...
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04/04/2021
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is a key technology in autopilot, which...
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02/21/2021
Progressive Depth Learning for Single Image Dehazing
The formulation of the hazy image is mainly dominated by the reflected l...
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12/12/2020
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection
Due to the high annotation cost of large-scale facial landmark detection...
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07/13/2020
End-to-End Multi-Object Tracking with Global Response Map
Most existing Multi-Object Tracking (MOT) approaches follow the Tracking...
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07/07/2020
Meta Corrupted Pixels Mining for Medical Image Segmentation
Deep neural networks have achieved satisfactory performance in piles of ...
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01/30/2020
Multiple Object Tracking by Flowing and Fusing
Most of Multiple Object Tracking (MOT) approaches compute individual tar...
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05/06/2019
Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
The main challenge of Multiple Object Tracking (MOT) is the efficiency i...
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03/30/2019
Person-in-WiFi: Fine-grained Person Perception using WiFi
Fine-grained person perception such as body segmentation and pose estima...
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03/29/2019
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
Deep convolutional neural network significantly boosted the capability o...
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02/20/2019
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
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02/20/2019
Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
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07/04/2018
Discriminative Feature Learning with Foreground Attention for Person Re-Identification
The performance of person re-identification (Re-ID) seriously depends on...
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10/07/2017
Deep Self-Paced Learning for Person Re-Identification
Person re-identification (Re-ID) usually suffers from noisy samples with...
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08/18/2017
Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification
Person re-identification (Re-ID) aims at matching images of the same per...
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07/03/2017