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10/05/2022
Locate before Answering: Answer Guided Question Localization for Video Question Answering
Video question answering (VideoQA) is an essential task in vision-langua...
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04/20/2022
Video Moment Retrieval from Text Queries via Single Frame Annotation
Video moment retrieval aims at finding the start and end timestamps of a...
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10/10/2021
Transformer-based Dual Relation Graph for Multi-label Image Recognition
The simultaneous recognition of multiple objects in one image remains a ...
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08/02/2021
Distributed Attention for Grounded Image Captioning
We study the problem of weakly supervised grounded image captioning. Tha...
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07/20/2021
Discriminator-Free Generative Adversarial Attack
The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...
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04/19/2021
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
While self-supervised representation learning (SSL) has received widespr...
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03/02/2021
Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query
Text-based image retrieval has seen considerable progress in recent year...
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01/19/2021
On The Consistency Training for Open-Set Semi-Supervised Learning
Conventional semi-supervised learning (SSL) methods, e.g., MixMatch, ach...
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01/08/2021
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Text-based person search aims at retrieving target person in an image ga...
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12/10/2020
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Current training objectives of existing person Re-IDentification (ReID) ...
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09/30/2020
Pruning Filter in Filter
Pruning has become a very powerful and effective technique to compress a...
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09/12/2020
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
One significant factor we expect the video representation learning to ca...
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09/11/2020
Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID
Although Person Re-Identification has made impressive progress, difficul...
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08/16/2020
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
In the conventional person Re-ID setting, it is widely assumed that crop...
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07/27/2020
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will...
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07/16/2020
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle
This paper proposes an adaptive energy management strategy for hybrid el...
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05/20/2020
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Object detection has achieved remarkable progress in the past decade. Ho...
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04/26/2020
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation
With a fixed model structure, knowledge distillation and filter grafting...
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12/03/2019
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
Person re-identification (re-ID), is a challenging task due to the high ...
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12/03/2019
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
Although great progress in supervised person re-identification (Re-ID) h...
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11/28/2019
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect
Recently, the research interest of person re-identification (ReID) has g...
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08/06/2019
Semi-Supervised Adversarial Monocular Depth Estimation
In this paper, we address the problem of monocular depth estimation when...
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03/15/2019
Unsupervised Person Re-identification by Soft Multilabel Learning
Although unsupervised person re-identification (RE-ID) has drawn increas...
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10/29/2018
A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training
Most existing Re-IDentification (Re-ID) methods are highly dependent on ...
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05/12/2015
