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09/04/2023
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Time-to-Contact (TTC) estimation is a critical task for assessing collis...
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08/27/2023
Practical Edge Detection via Robust Collaborative Learning
Edge detection, as a core component in a wide range of visionoriented ta...
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08/19/2023
Single Image Reflection Separation via Component Synergy
The reflection superposition phenomenon is complex and widely distribute...
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06/07/2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation
Conversational recommendation systems (CRS) effectively address informat...
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05/02/2023
Automated Code generation for Information Technology Tasks in YAML through Large Language Models
The recent improvement in code generation capabilities due to the use of...
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01/17/2023
Face Inverse Rendering via Hierarchical Decoupling
Previous face inverse rendering methods often require synthetic data wit...
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01/01/2023
Theoretical Characterization of How Neural Network Pruning Affects its Generalization
It has been observed in practice that applying pruning-at-initialization...
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10/01/2022
Multi-objective Deep Data Generation with Correlated Property Control
Developing deep generative models has been an emerging field due to the ...
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08/25/2022
Adaptive Perception Transformer for Temporal Action Localization
Temporal action localization aims to predict the boundary and category o...
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08/20/2022
YOLOV: Making Still Image Object Detectors Great at Video Object Detection
Video object detection (VID) is challenging because of the high variatio...
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07/19/2022
Controllable Data Generation by Deep Learning: A Review
Designing and generating new data under targeted properties has been att...
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07/05/2022
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
In this work, we propose PolarBEV for vision-based uneven BEV representa...
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06/21/2022
Automatic Controllable Product Copywriting for E-Commerce
Automatic product description generation for e-commerce has witnessed si...
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02/28/2022
Disentangled Spatiotemporal Graph Generative Models
Spatiotemporal graph represents a crucial data structure where the nodes...
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02/28/2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Designing molecules with specific properties is a long-lasting research ...
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01/28/2022
Deep Generative Model for Periodic Graphs
Periodic graphs are graphs consisting of repetitive local structures, su...
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01/14/2022
Compact Graph Structure Learning via Mutual Information Compression
Graph Structure Learning (GSL) recently has attracted considerable atten...
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12/16/2021
Intelligent Online Selling Point Extraction for E-Commerce Recommendation
In the past decade, automatic product description generation for e-comme...
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11/30/2021
Low-light Image Enhancement via Breaking Down the Darkness
Images captured in low-light environment often suffer from complex degra...
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10/20/2021
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
Single image reflection separation (SIRS), as a representative blind sou...
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06/10/2021
Graph Neural Networks for Natural Language Processing: A Survey
Deep learning has become the dominant approach in coping with various ta...
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07/13/2020
A Systematic Survey on Deep Generative Models for Graph Generation
Graphs are important data representations for describing objects and the...
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06/09/2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Disentangled representation learning has recently attracted a significan...
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04/08/2020
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder
Much scientific enquiry across disciplines is founded upon a mechanistic...
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03/22/2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Generalized from image and language translation, graph translation aims ...
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11/26/2019
LaFIn: Generative Landmark Guided Face Inpainting
It is challenging to inpaint face images in the wild, due to the large v...
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11/24/2019
EDIT: Exemplar-Domain Aware Image-to-Image Translation
Image-to-image translation is to convert an image of the certain style t...
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08/26/2019
Multi-stage Deep Classifier Cascades for Open World Recognition
At present, object recognition studies are mostly conducted in a closed ...
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05/04/2019
Kindling the Darkness: A Practical Low-light Image Enhancer
Images captured under low-light conditions often suffer from (partially)...
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03/20/2019
Single Image Deraining: A Comprehensive Benchmark Analysis
We present a comprehensive study and evaluation of existing single image...
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02/28/2019
PFLD: A Practical Facial Landmark Detector
Being accurate, efficient, and compact is essential to a facial landmark...
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05/25/2018
Deep Graph Translation
Inspired by the tremendous success of deep generative models on generati...
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05/10/2018
Ensemble Soft-Margin Softmax Loss for Image Classification
Softmax loss is arguably one of the most popular losses to train CNN mod...
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04/08/2018
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Rain effect in images typically is annoying for many multimedia and comp...
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07/06/2015