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06/22/2023
Feature screening for clustering analysis
In this paper, we consider feature screening for ultrahigh dimensional c...
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12/07/2022
Network Analysis of Count Data from Mixed Populations
In applications such as gene regulatory network analysis based on single...
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07/26/2022
Contextual Text Block Detection towards Scene Text Understanding
Most existing scene text detectors focus on detecting characters or word...
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05/23/2022
Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data
Gene regulatory network (GRN) refers to the complex network formed by re...
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04/05/2022
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation
Unsupervised domain adaptation (UDA) aims to enhance the generalization ...
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02/26/2022
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Generally, humans are more skilled at perceiving differences between hig...
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12/18/2021
Time-Aware Neighbor Sampling for Temporal Graph Networks
We present a new neighbor sampling method on temporal graphs. In a tempo...
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10/06/2021
Objects in Semantic Topology
A more realistic object detection paradigm, Open-World Object Detection,...
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09/13/2021
Weakly Supervised Person Search with Region Siamese Networks
Supervised learning is dominant in person search, but it requires elabor...
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09/13/2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Few-shot learning aims to adapt knowledge learned from previous tasks to...
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09/01/2021
Memory Based Video Scene Parsing
Video scene parsing is a long-standing challenging task in computer visi...
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08/26/2021
Mining Contextual Information Beyond Image for Semantic Segmentation
This paper studies the context aggregation problem in semantic image seg...
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08/26/2021
Cross-category Video Highlight Detection via Set-based Learning
Autonomous highlight detection is crucial for enhancing the efficiency o...
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08/12/2021
MT-ORL: Multi-Task Occlusion Relationship Learning
Retrieving occlusion relation among objects in a single image is challen...
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08/05/2021
Unifying Nonlocal Blocks for Neural Networks
The nonlocal-based blocks are designed for capturing long-range spatial-...
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07/05/2021
Recovering the Unbiased Scene Graphs from the Biased Ones
Given input images, scene graph generation (SGG) aims to produce compreh...
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07/02/2021
How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition
Contrastive learning applied to self-supervised representation learning ...
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06/01/2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Semi-Supervised Learning (SSL) has shown its strong ability in utilizing...
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05/18/2021
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition
Leveraging the advances of natural language processing, most recent scen...
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04/30/2021
Center Prediction Loss for Re-identification
The training loss function that enforces certain training sample distrib...
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04/13/2021
Improving Long-Tailed Classification from Instance Level
Data in the real world tends to exhibit a long-tailed label distribution...
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04/08/2021
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations
Although single-image super-resolution (SISR) methods have achieved grea...
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03/27/2021
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
In this paper, we propose MINE to perform novel view synthesis and depth...
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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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02/19/2021
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
Fine-grained image recognition is very challenging due to the difficulty...
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01/07/2021
Incorporating Vision Bias into Click Models for Image-oriented Search Engine
Most typical click models assume that the probability of a document to b...
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12/31/2020
TransTrack: Multiple-Object Tracking with Transformer
Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
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12/10/2020
OneNet: Towards End-to-End One-Stage Object Detection
End-to-end one-stage object detection trailed thus far. This paper disco...
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12/10/2020
Slimmable Generative Adversarial Networks
Generative adversarial networks (GANs) have achieved remarkable progress...
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12/04/2020
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
Although deep learning based methods have achieved great progress in uns...
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11/25/2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
We present Sparse R-CNN, a purely sparse method for object detection in ...
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11/15/2020
A robust statistical method for Genome-wide association analysis of human copy number variation
Conducting genome-wide association studies (GWAS) in copy number variati...
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11/09/2020
Learning the Best Pooling Strategy for Visual Semantic Embedding
Visual Semantic Embedding (VSE) is a dominant approach for vision-langua...
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09/30/2019
Towards Good Practices for Video Object Segmentation
Semi-supervised video object segmentation is an interesting yet challeng...
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07/03/2019
Deformable Tube Network for Action Detection in Videos
We address the problem of spatio-temporal action detection in videos. Ex...
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05/14/2019
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Multi-person pose estimation is a fundamental yet challenging task in co...
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05/09/2019
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
Multi-person pose estimation is an important but challenging problem in ...
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11/12/2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
This paper studies the problem of generalized zero-shot learning which r...
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10/24/2018
Mask Propagation Network for Video Object Segmentation
In this work, we propose a mask propagation network to treat the video s...
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10/09/2018
Knowing Where to Look? Analysis on Attention of Visual Question Answering System
Attention mechanisms have been widely used in Visual Question Answering ...
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09/16/2018
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification
Leveraging both visual frames and audio has been experimentally proven e...
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03/12/2018
An Introduction to Image Synthesis with Generative Adversarial Nets
There has been a drastic growth of research in Generative Adversarial Ne...
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01/12/2017
Modularized Morphing of Neural Networks
In this work we study the problem of network morphism, an effective lear...
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11/29/2016
Surveillance Video Parsing with Single Frame Supervision
Surveillance video parsing, which segments the video frames into several...
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03/05/2016