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09/07/2023
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning
Motion planning is the soul of robot decision making. Classical planning...
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09/05/2023
Debiased Regression Adjustment in Completely Randomized Experiments with Moderately High-dimensional Covariates
Completely randomized experiment is the gold standard for causal inferen...
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08/17/2023
Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering
Bokeh is widely used in photography to draw attention to the subject whi...
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07/19/2023
Text2Layer: Layered Image Generation using Latent Diffusion Model
Layer compositing is one of the most popular image editing workflows amo...
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04/19/2023
Is ChatGPT Equipped with Emotional Dialogue Capabilities?
This report presents a study on the emotional dialogue capability of Cha...
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11/04/2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vi...
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10/11/2022
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Data in real-world object detection often exhibits the long-tailed distr...
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10/11/2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Long-tail distribution is widely spread in real-world applications. Due ...
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10/08/2022
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness
As a critical step to achieve human-like chatbots, empathetic response g...
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10/07/2022
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization
Bayesian Optimization (BO) is a common solution to search optimal hyperp...
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10/01/2022
Tyranny-of-the-minority regression adjustment in randomized experiments
Regression adjustment is widely used for the analysis of randomized expe...
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06/15/2022
Multiscale methods for signal selection in single-cell data
Analysis of single-cell transcriptomics often relies on clustering cells...
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06/08/2022
A Unified Model for Multi-class Anomaly Detection
Despite the rapid advance of unsupervised anomaly detection, existing me...
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01/22/2022
Iterative Correlation-based Feature Refinement for Few-shot Counting
Few-shot counting aims to count objects of any class in an image given o...
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12/19/2021
On Efficient Transformer and Image Pre-training for Low-level Vision
Pre-training has marked numerous state of the arts in high-level compute...
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12/08/2021
Revisiting Global Statistics Aggregation for Improving Image Restoration
Global spatial statistics, which are aggregated along entire spatial dim...
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10/08/2021
Dynamic Binary Neural Network by learning channel-wise thresholds
Binary neural networks (BNNs) constrain weights and activations to +1 or...
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05/17/2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Image denoising is one of the most critical problems in mobile photo pro...
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05/13/2021
HINet: Half Instance Normalization Network for Image Restoration
In this paper, we explore the role of Instance Normalization in low-leve...
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04/17/2021
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
The two-stage methods for instance segmentation, e.g. Mask R-CNN, have a...
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03/15/2021
A Transition-based Parser for Unscoped Episodic Logical Forms
"Episodic Logic:Unscoped Logical Form" (EL-ULF) is a semantic representa...
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12/15/2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Recently proposed decoupled training methods emerge as a dominant paradi...
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09/24/2020
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
Modern object detection methods can be divided into one-stage approaches...
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06/07/2020
Information Mandala: Statistical Distance Matrix with Its Clustering
In machine learning, observation features are measured in a metric space...
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07/26/2019
Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social Networks
Peer influence and social contagion are key denominators in the adoption...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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06/13/2019
Grid R-CNN Plus: Faster and Better
Grid R-CNN is a well-performed objection detection framework. It transfo...
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04/15/2019
A deep learning framework for quality assessment and restoration in video endoscopy
Endoscopy is a routine imaging technique used for both diagnosis and min...
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02/19/2019
When Energy Trading meets Blockchain in Electrical Power System: The State of the Art
With the rapid growth of renewable energy resources, the energy trading ...
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01/17/2019
Foreground-aware Image Inpainting
Existing image inpainting methods typically fill holes by borrowing info...
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11/29/2018
Grid R-CNN
This paper proposes a novel object detection framework named Grid R-CNN,...
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08/07/2018
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias
While machine learning approaches to visual emotion recognition offer gr...
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07/25/2018
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Existing video prediction methods mainly rely on observing multiple hist...
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06/10/2018
Free-Form Image Inpainting with Gated Convolution
We present a novel deep learning based image inpainting system to comple...
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02/01/2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Model pruning has become a useful technique that improves the computatio...
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01/24/2018
MAttNet: Modular Attention Network for Referring Expression Comprehension
In this paper, we address referring expression comprehension: localizing...
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01/24/2018
Generative Image Inpainting with Contextual Attention
Recent deep learning based approaches have shown promising results on im...
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10/17/2017
Scene Parsing with Global Context Embedding
We present a scene parsing method that utilizes global context informati...
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05/23/2017
Universal Style Transfer via Feature Transforms
Universal style transfer aims to transfer arbitrary visual styles to con...
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03/23/2017
Recurrent Multimodal Interaction for Referring Image Segmentation
In this paper we are interested in the problem of image segmentation giv...
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03/05/2017
Diversified Texture Synthesis with Feed-forward Networks
Recent progresses on deep discriminative and generative modeling have sh...
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02/28/2017
Deep Image Harmonization
Compositing is one of the most common operations in photo editing. To ge...
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11/30/2016
