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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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05/15/2023
Mode Approximation Makes Good Vision-Language Prompts
With the advance of large-scale model technologies, parameter-efficient ...
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05/10/2023
Visual Tuning
Fine-tuning visual models has been widely shown promising performance on...
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03/17/2023
LION: Implicit Vision Prompt Tuning
Despite recent competitive performance across a range of vision tasks, v...
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02/20/2023
Constraint and Union for Partially-Supervised Temporal Sentence Grounding
Temporal sentence grounding aims to detect the event timestamps describe...
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12/19/2022
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) learns to detect a...
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10/28/2022
OhMG: Zero-shot Open-vocabulary Human Motion Generation
Generating motion in line with text has attracted increasing attention n...
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10/03/2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Since the release of various large-scale natural language processing (NL...
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08/22/2022
Prompt-Matched Semantic Segmentation
The objective of this work is to explore how to effectively and efficien...
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07/29/2022
Fine-grained Retrieval Prompt Tuning
Fine-grained object retrieval aims to learn discriminative representatio...
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07/28/2022
Pro-tuning: Unified Prompt Tuning for Vision Tasks
In computer vision, fine-tuning is the de-facto approach to leverage pre...
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05/24/2022
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval
In the past few years, the emergence of vision-language pre-training (VL...
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08/29/2021
Differentiable Convolution Search for Point Cloud Processing
Exploiting convolutional neural networks for point cloud processing is q...
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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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03/04/2021
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
Recent years have witnessed significant progress in 3D hand mesh recover...
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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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02/10/2020
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
RGB-Infrared (IR) person re-identification is very challenging due to th...
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05/06/2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax
For network architecture search (NAS), it is crucial but challenging to ...
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05/05/2019
