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03/15/2023
HFGD: High-level Feature Guided Decoder for Semantic Segmentation
Commonly used backbones for semantic segmentation, such as ResNet and Sw...
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01/11/2023
CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Semantic segmentation has recently achieved notable advances by exploiti...
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12/18/2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
In this work, we study the black-box targeted attack problem from the mo...
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12/01/2022
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
In medical image segmentation, it is often necessary to collect opinions...
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09/29/2022
Motion and Appearance Adaptation for Cross-Domain Motion Transfer
Motion transfer aims to transfer the motion of a driving video to a sour...
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09/28/2022
Motion Transformer for Unsupervised Image Animation
Image animation aims to animate a source image by using motion learned f...
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08/05/2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle
On the medical images, many of the tissues/lesions may be ambiguous. Tha...
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06/01/2022
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment
Detection transformers like DETR have recently shown promising performan...
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04/12/2022
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation
Existing works typically treat cross-domain semantic segmentation (CDSS)...
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04/11/2022
Structure-Aware Motion Transfer with Deformable Anchor Model
Given a source image and a driving video depicting the same object type,...
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04/10/2022
Learning Pixel-Level Distinctions for Video Highlight Detection
The goal of video highlight detection is to select the most attractive s...
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04/01/2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Cold-start issues have been more and more challenging for providing accu...
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12/19/2021
Move As You Like: Image Animation in E-Commerce Scenario
Creative image animations are attractive in e-commerce applications, whe...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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11/02/2020
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation
Cold-start has being a critical issue in recommender systems with the ex...
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09/08/2020
Region Comparison Network for Interpretable Few-shot Image Classification
While deep learning has been successfully applied to many real-world com...
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08/03/2020
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction
Multi-agent motion prediction is challenging because it aims to foresee ...
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07/27/2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
In this paper, we present a novel deep metric learning method to tackle ...
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04/05/2020
Deeply Aligned Adaptation for Cross-domain Object Detection
Cross-domain object detection has recently attracted more and more atten...
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03/31/2020
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning
Zero-Shot Learning (ZSL) aims to learn recognition models for recognizin...
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03/02/2020
Unbiased Mean Teacher for Cross Domain Object Detection
Cross domain object detection is challenging, because object detection m...
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11/11/2019
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
We study the problem of visual question answering (VQA) in images by exp...
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08/26/2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
We propose a new approach, called self-motivated pyramid curriculum doma...
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06/24/2019
Adversarial Multimodal Network for Movie Question Answering
Visual question answering by using information from multiple modalities ...
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05/10/2019
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
Partial domain adaptation aims to transfer knowledge from a label-rich s...
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05/03/2019
Known-class Aware Self-ensemble for Open Set Domain Adaptation
Existing domain adaptation methods generally assume different domains ha...
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04/21/2019
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
How to effectively learn from unlabeled data from the target domain is c...
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02/20/2019
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Action recognition in videos has attracted a lot of attention in the pas...
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05/11/2018
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks
Existing deep learning methods of video recognition usually require a la...
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12/15/2016