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08/29/2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Federated learning (FL) emerges as a decentralized learning framework wh...
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02/19/2023
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
To understand how deep neural networks perform classification prediction...
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08/30/2022
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
While self-supervised learning has been shown to benefit a number of vis...
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12/27/2021
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Few-shot classification aims to carry out classification given only few ...
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11/02/2021
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation
Few-shot semantic segmentation addresses the learning task in which only...
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02/26/2021
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis
Generating videos with content and motion variations is a challenging ta...
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10/21/2020
Semantics-Guided Representation Learning with Applications to Visual Synthesis
Learning interpretable and interpolatable latent representations has bee...
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04/25/2018