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08/14/2023
RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs
Blind face restoration aims at recovering high-quality face images from ...
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05/31/2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Deep sequence recognition (DSR) models receive increasing attention due ...
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03/20/2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Pose transfer aims to transfer a given person into a specified posture, ...
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01/03/2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
Image Virtual try-on aims at replacing the cloth on a personal image wit...
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11/15/2022
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
As a promising solution of reducing annotation cost, training multi-labe...
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05/23/2022
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which som...
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04/23/2022
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation
Unpaired image-to-image translation aims to find a mapping between the s...
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04/08/2022
Semantic Representation and Dependency Learning for Multi-Label Image Recognition
Recently many multi-label image recognition (MLR) works have made signif...
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03/04/2022
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Training the multi-label image recognition models with partial labels, i...
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12/21/2021
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Multi-label image recognition is a fundamental yet practical task becaus...
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11/30/2021
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Land remote sensing analysis is a crucial research in earth science. In ...
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12/29/2020
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
Recognizing human emotion/expressions automatically is quite an expected...
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09/20/2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Recognizing multiple labels of an image is a practical yet challenging t...
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08/03/2020
Active Object Search
In this work, we investigate an Active Object Search (AOS) task that is ...
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08/03/2020
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
Data inconsistency and bias are inevitable among different facial expres...
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07/21/2020
Fine-Grained Image Captioning with Global-Local Discriminative Objective
Significant progress has been made in recent years in image captioning, ...
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03/23/2020
Efficient Crowd Counting via Structured Knowledge Transfer
Crowd counting is an application-oriented task and its inference efficie...
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11/21/2019
Knowledge Graph Transfer Network for Few-Shot Recognition
Few-shot learning aims to learn novel categories from very few samples g...
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08/20/2019
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Recognizing multiple labels of images is a practical and challenging tas...
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08/12/2019
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
Deep learning-based video salient object detection has recently achieved...
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03/08/2019
Knowledge-Embedded Routing Network for Scene Graph Generation
To understand a scene in depth not only involves locating/recognizing in...
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08/25/2018
Neural Task Planning with And-Or Graph Representations
This paper focuses on semantic task planning, i.e., predicting a sequenc...
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08/14/2018
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding
Object categories inherently form a hierarchy with different levels of c...
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07/02/2018
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Humans can naturally understand an image in depth with the aid of rich k...
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07/02/2018
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Social relationships (e.g., friends, couple etc.) form the basis of the ...
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12/20/2017
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Accelerating deep neural networks (DNNs) has been attracting increasing ...
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12/20/2017
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition
Recognizing multiple labels of images is a fundamental but challenging t...
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11/08/2017
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
This paper proposes a novel deep architecture to address multi-label ima...
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10/04/2017
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Sketch portrait generation benefits a wide range of applications such as...
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07/15/2017
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
This paper aims at task-oriented action prediction, i.e., predicting a s...
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12/04/2016
Learning to Segment Object Proposals via Recursive Neural Networks
To avoid the exhaustive search over locations and scales, current state-...
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02/13/2016
Character Proposal Network for Robust Text Extraction
Maximally stable extremal regions (MSER), which is a popular method to g...
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11/13/2015
