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08/04/2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Recent score-based diffusion models (SBDMs) show promising results in un...
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06/14/2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models
The AI community has been pursuing algorithms known as artificial genera...
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05/11/2023
Continual Vision-Language Representation Learning with Off-Diagonal Information
This paper discusses the feasibility of continuously training the CLIP m...
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04/12/2023
Learning Transferable Pedestrian Representation from Multimodal Information Supervision
Recent researches on unsupervised person re-identification (reID) have d...
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03/12/2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Prompt tuning, a recently emerging paradigm, enables the powerful vision...
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03/07/2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Generative transformers have shown their superiority in synthesizing hig...
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11/23/2022
Integrally Pre-Trained Transformer Pyramid Networks
In this paper, we present an integral pre-training framework based on ma...
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08/04/2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Large-scale vision-language pre-training has shown impressive advances i...
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08/03/2022
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
Understanding human emotions is a crucial ability for intelligent robots...
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06/02/2022
DE-Net: Dynamic Text-guided Image Editing Adversarial Networks
Text-guided image editing models have shown remarkable results. However,...
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03/10/2022
MVP: Multimodality-guided Visual Pre-training
Recently, masked image modeling (MIM) has become a promising direction f...
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07/16/2021
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
Few-Shot image classification aims to utilize pretrained knowledge learn...
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06/01/2021
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Recently, self-supervised learning methods have achieved remarkable succ...
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05/28/2021
What Is Considered Complete for Visual Recognition?
This is an opinion paper. We hope to deliver a key message that current ...
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04/26/2021
Visformer: The Vision-friendly Transformer
The past year has witnessed the rapid development of applying the Transf...
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03/30/2021
Spatiotemporal Transformer for Video-based Person Re-identification
Recently, the Transformer module has been transplanted from natural lang...
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12/08/2020
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
The main difficulty of person re-identification (ReID) lies in collectin...
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11/19/2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Contrastive learning has achieved great success in self-supervised visua...
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11/17/2020
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Recently, contrastive learning has largely advanced the progress of unsu...
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08/04/2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
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07/07/2020
GOLD-NAS: Gradual, One-Level, Differentiable
There has been a large literature of neural architecture search, but mos...
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04/17/2020
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
Neural architecture search has attracted wide attentions in both academi...
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04/06/2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
Automatic designing computationally efficient neural networks has receiv...
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03/25/2020
Circumventing Outliers of AutoAugment with Knowledge Distillation
AutoAugment has been a powerful algorithm that improves the accuracy of ...
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01/23/2020
Disassembling the Dataset: A Camera Alignment Mechanism for Multiple Tasks in Person Re-identification
In person re-identification (ReID), one of the main challenges is the di...
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10/25/2019
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters
Differentiable neural architecture search has been a popular methodology...
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09/24/2019
Single Camera Training for Person Re-identification
Person re-identification (ReID) aims at finding the same person in diffe...
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11/23/2017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Although the performance of person Re-Identification (ReID) has been sig...
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09/13/2017