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04/06/2023
Training-Free Layout Control with Cross-Attention Guidance
Recent diffusion-based generators can produce high-quality images based ...
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03/12/2023
Causal Mediation Analysis with a Three-Dimensional Image Mediator
Causal mediation analysis is increasingly abundant in biology, psycholog...
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12/06/2022
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations
Previous work on action representation learning focused on global repres...
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03/28/2022
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
Prior works on action representation learning mainly focus on designing ...
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11/29/2021
Searching the Search Space of Vision Transformer
Vision Transformer has shown great visual representation power in substa...
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07/29/2021
Rethinking and Improving Relative Position Encoding for Vision Transformer
Relative position encoding (RPE) is important for transformer to capture...
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07/01/2021
AutoFormer: Searching Transformers for Visual Recognition
Recently, pure transformer-based models have shown great potentials for ...
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06/15/2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Federated Learning (FL) as a distributed learning paradigm that aggregat...
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06/09/2021
Salient Object Ranking with Position-Preserved Attention
Instance segmentation can detect where the objects are in an image, but ...
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04/01/2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
Despite remarkable progress achieved, most neural architecture search (N...
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01/29/2021
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
In recent years, supervised person re-identification (re-ID) models have...
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11/21/2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
Semi-supervised variational autoencoders (VAEs) have obtained strong res...
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11/19/2020
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Conventional unsupervised multi-source domain adaptation(UMDA) methods a...
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10/15/2020
Spherical Knowledge Distillation
Knowledge distillation aims at obtaining a small but effective deep mode...
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10/10/2020
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework
To deploy a pre-trained deep CNN on resource-constrained mobile devices,...
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01/04/2020
Adversarial-Learned Loss for Domain Adaptation
Recently, remarkable progress has been made in learning transferable rep...
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12/21/2019
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration
Neural network pruning is one of the most popular methods of acceleratin...
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09/30/2019