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03/31/2023
Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection
Weakly supervised video anomaly detection (WS-VAD) is a challenging prob...
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03/23/2023
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection
Increasing scene-awareness is a key challenge in video anomaly detection...
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04/02/2022
Online Convolutional Re-parameterization
Structural re-parameterization has drawn increasing attention in various...
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03/01/2021
PENet: Towards Precise and Efficient Image Guided Depth Completion
Image guided depth completion is the task of generating a dense depth ma...
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01/05/2021
Self-supervised Visual-LiDAR Odometry with Flip Consistency
Most learning-based methods estimate ego-motion by utilizing visual sens...
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12/19/2020
Camera-aware Proxies for Unsupervised Person Re-Identification
This paper tackles the purely unsupervised person re-identification (Re-...
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02/12/2020
Towards Precise Intra-camera Supervised Person Re-identification
Intra-camera supervision (ICS) for person re-identification (Re-ID) assu...
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10/12/2019
Saliency Guided Self-attention Network for Weakly-supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) using only image-level la...
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01/05/2019
Adaptive Fusion for RGB-D Salient Object Detection
RGB-D salient object detection aims to identify the most visually distin...
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12/14/2018
Deep Active Learning for Video-based Person Re-identification
It is prohibitively expensive to annotate a large-scale video-based pers...
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12/05/2018
Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction
Accurate traffic forecast is a challenging problem due to the large-scal...
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06/21/2017
Saliency Guided End-to-End Learning for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD), which is the problem of learn...
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06/29/2014