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12/04/2022
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
This technical report briefly describes our JDExplore d-team's Vega v2 s...
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05/18/2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Although Generative Adversarial Networks (GANs) have made significant pr...
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07/25/2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Despite the recent advance of Generative Adversarial Networks (GANs) in ...
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04/23/2019
Path-Restore: Learning Network Path Selection for Image Restoration
Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
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04/22/2019
Switchable Whitening for Deep Representation Learning
Normalization methods are essential components in convolutional neural n...
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03/15/2019
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
Over four decades, the majority addresses the problem of optical flow es...
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01/23/2019
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Understanding fashion images has been advanced by benchmarks with rich a...
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12/05/2018
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer
Convolutional Neural Networks (CNNs) become deeper and deeper in recent ...
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12/04/2018
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis
The advance of Generative Adversarial Networks (GANs) enables realistic ...
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11/26/2018
Deep Network Interpolation for Continuous Imagery Effect Transition
Deep convolutional neural network has demonstrated its capability of lea...
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09/07/2018
Improving On-policy Learning with Statistical Reward Accumulation
Deep reinforcement learning has obtained significant breakthroughs in re...
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09/01/2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...
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07/25/2018
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
Convolutional neural networks (CNNs) have achieved great successes in ma...
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06/01/2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Data for face analysis often exhibit highly-skewed class distribution, i...
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05/18/2018
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
FlowNet2, the state-of-the-art convolutional neural network (CNN) for op...
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03/02/2018
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Face recognition achieves exceptional success thanks to the emergence of...
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12/17/2017
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
Convolutional neural networks (CNNs) are usually built by stacking convo...
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12/02/2017
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
Deep convolutional networks for semantic image segmentation typically re...
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08/09/2017
Learning to Disambiguate by Asking Discriminative Questions
The ability to ask questions is a powerful tool to gather information in...
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08/07/2017
Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks
Fashion landmarks are functional key points defined on clothes, such as ...
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08/01/2017
Video Object Segmentation with Re-identification
Conventional video segmentation methods often rely on temporal continuit...
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07/29/2017
Recurrent Scale Approximation for Object Detection in CNN
Since convolutional neural network (CNN) lacks an inherent mechanism to ...
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07/17/2017
Aesthetic-Driven Image Enhancement by Adversarial Learning
We introduce EnhanceGAN, an adversarial learning based model that perfor...
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06/09/2017
Face Detection through Scale-Friendly Deep Convolutional Networks
In this paper, we share our experience in designing a convolutional netw...
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05/08/2017
Temporal Segment Networks for Action Recognition in Videos
Deep convolutional networks have achieved great success for image recogn...
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04/05/2017
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
We propose a novel deep layer cascade (LC) method to improve the accurac...
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03/08/2017
A Pursuit of Temporal Accuracy in General Activity Detection
Detecting activities in untrimmed videos is an important but challenging...
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02/08/2017
Video Frame Synthesis using Deep Voxel Flow
We address the problem of synthesizing new video frames in an existing v...
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01/29/2017
Faceness-Net: Face Detection through Deep Facial Part Responses
We propose a deep convolutional neural network (CNN) for face detection ...
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10/27/2016
Local Similarity-Aware Deep Feature Embedding
Existing deep embedding methods in vision tasks are capable of learning ...
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10/04/2016
Image Aesthetic Assessment: An Experimental Survey
This survey aims at reviewing recent computer vision techniques used in ...
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09/21/2016
From Facial Expression Recognition to Interpersonal Relation Prediction
Interpersonal relation defines the association, e.g., warm, friendliness...
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09/07/2016
Deep Markov Random Field for Image Modeling
Markov Random Fields (MRFs), a formulation widely used in generative ima...
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08/10/2016
Fashion Landmark Detection in the Wild
Visual fashion analysis has attracted many attentions in the recent year...
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08/09/2016
Deep Convolution Networks for Compression Artifacts Reduction
Lossy compression introduces complex compression artifacts, particularly...
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08/02/2016
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Deep convolutional networks have achieved great success for visual recog...
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08/02/2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
This paper presents the method that underlies our submission to the untr...
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08/01/2016
Accelerating the Super-Resolution Convolutional Neural Network
As a successful deep model applied in image super-resolution (SR), the S...
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06/23/2016
Deep Learning Markov Random Field for Semantic Segmentation
Semantic segmentation tasks can be well modeled by Markov Random Field (...
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04/25/2016
Actionness Estimation Using Hybrid Fully Convolutional Networks
Actionness was introduced to quantify the likelihood of containing a gen...
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02/03/2016
Discriminative Sparse Neighbor Approximation for Imbalanced Learning
Data imbalance is common in many vision tasks where one or more classes ...
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12/07/2015
Sparsifying Neural Network Connections for Face Recognition
This paper proposes to learn high-performance deep ConvNets with sparse ...
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11/19/2015
Adjustable Bounded Rectifiers: Towards Deep Binary Representations
Binary representation is desirable for its memory efficiency, computatio...
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09/14/2015
Learning Social Relation Traits from Face Images
Social relation defines the association, e.g, warm, friendliness, and do...
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09/09/2015
Semantic Image Segmentation via Deep Parsing Network
This paper addresses semantic image segmentation by incorporating rich i...
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06/30/2015
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
Updated on 24/09/2015: This update provides preliminary experiment resul...
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06/14/2015
Reading Scene Text in Deep Convolutional Sequences
We develop a Deep-Text Recurrent Network (DTRN) that regards scene text ...
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04/27/2015
Compression Artifacts Reduction by a Deep Convolutional Network
Lossy compression introduces complex compression artifacts, particularly...
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02/03/2015
DeepID3: Face Recognition with Very Deep Neural Networks
The state-of-the-art of face recognition has been significantly advanced...
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01/05/2015