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09/06/2023
Reviving Static Charts into Live Charts
Data charts are prevalent across various fields due to their efficacy in...
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08/25/2023
AccFlow: Backward Accumulation for Long-Range Optical Flow
Recent deep learning-based optical flow estimators have exhibited impres...
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06/01/2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Diffusion-based Generative Models (DGMs) have achieved unparalleled perf...
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02/27/2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Monitoring and analyzing stereotypical behaviours is important for early...
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01/29/2023
Towards Inference Efficient Deep Ensemble Learning
Ensemble methods can deliver surprising performance gains but also bring...
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12/16/2022
Attentive Mask CLIP
Image token removal is an efficient augmentation strategy for reducing t...
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12/08/2022
Learning Domain Invariant Prompt for Vision-Language Models
Prompt learning is one of the most effective and trending ways to adapt ...
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11/29/2022
Similarity Distribution based Membership Inference Attack on Person Re-identification
While person Re-identification (Re-ID) has progressed rapidly due to its...
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11/20/2022
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
In recent years, person Re-identification (ReID) has rapidly progressed ...
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07/15/2022
Towards Privacy-Preserving Person Re-identification via Person Identify Shift
Recently privacy concerns of person re-identification (ReID) raise more ...
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06/21/2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Vector graphics (VG) have been ubiquitous in our daily life with vast ap...
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03/16/2022
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Despite the impressive progress of general face detection, the tuning of...
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03/09/2022
Domain Generalization using Pretrained Models without Fine-tuning
Fine-tuning pretrained models is a common practice in domain generalizat...
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03/02/2022
GSC Loss: A Gaussian Score Calibrating Loss for Deep Learning
Cross entropy (CE) loss integrated with softmax is an orthodox component...
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11/05/2021
Recognizing Vector Graphics without Rasterization
In this paper, we consider a different data format for images: vector gr...
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08/30/2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
The energy consumption of deep learning models is increasing at a breath...
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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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01/08/2021
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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09/12/2020
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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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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10/29/2018