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09/14/2023
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion
Given a group of images, co-salient object detection (CoSOD) aims to hig...
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04/20/2023
Regularizing Second-Order Influences for Continual Learning
Continual learning aims to learn on non-stationary data streams without ...
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04/06/2023
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce
This paper aims to establish a generic multi-modal foundation model that...
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11/07/2022
Image Completion with Heterogeneously Filtered Spectral Hints
Image completion with large-scale free-form missing regions is one of th...
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09/27/2022
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
Spatio-Temporal video grounding (STVG) focuses on retrieving the spatio-...
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01/08/2022
Learning Sample Importance for Cross-Scenario Video Temporal Grounding
The task of temporal grounding aims to locate video moment in an untrimm...
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10/12/2021
Rethinking the Spatial Route Prior in Vision-and-Language Navigation
Vision-and-language navigation (VLN) is a trending topic which aims to n...
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05/11/2021
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
This paper presents Poisoning MorphNet, the first backdoor attack method...
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08/10/2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Convolutional Neural Networks (CNNs) are known to rely more on local tex...
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03/27/2020
Weakly-Supervised Action Localization by Generative Attention Modeling
Weakly-supervised temporal action localization is a problem of learning ...
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08/20/2019
Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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08/02/2019
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos
Temporal action localization is a recently-emerging task, aiming to loca...
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08/01/2019
Two-Stream Video Classification with Cross-Modality Attention
Fusing multi-modality information is known to be able to effectively bri...
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04/09/2019
High-Resolution Representations for Labeling Pixels and Regions
High-resolution representation learning plays an essential role in many ...
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06/08/2018
Convolutional Video Steganography with Temporal Residual Modeling
Steganography represents the art of unobtrusively concealing a secrete m...
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08/12/2017
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues
In recent years, autonomous driving algorithms using low-cost vehicle-mo...
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08/12/2016
Deep Hashing: A Joint Approach for Image Signature Learning
Similarity-based image hashing represents crucial technique for visual d...
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03/14/2016
Learning Binary Codes and Binary Weights for Efficient Classification
This paper proposes a generic formulation that significantly expedites t...
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06/28/2015
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization
Stochastic gradient descent (SGD) holds as a classical method to build l...
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04/20/2013
Distributed Low-rank Subspace Segmentation
Vision problems ranging from image clustering to motion segmentation to ...
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10/08/2012
Video De-fencing
This paper describes and provides an initial solution to a novel video e...
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06/18/2012
