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09/13/2023
SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection
In this paper, we propose a novel training strategy called SupFusion, wh...
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09/10/2023
FreeMan: Towards Benchmarking 3D Human Pose Estimation in the Wild
Estimating the 3D structure of the human body from natural scenes is a f...
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08/23/2023
Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models
Recently, digital humans for interpersonal interaction in virtual enviro...
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06/06/2023
YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
Accurate polyp detection is essential for assisting clinical rectal canc...
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05/26/2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing
It is widely reported that deep generative models can classify out-of-di...
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04/23/2023
Hierarchical Weight Averaging for Deep Neural Networks
Despite the simplicity, stochastic gradient descent (SGD)-like algorithm...
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01/02/2023
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
In recent years, the Transformer architecture has shown its superiority ...
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10/09/2022
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
Although recent point cloud analysis achieves impressive progress, the p...
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07/21/2022
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration
Weakly Supervised Object Localization (WSOL), which aims to localize obj...
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07/10/2022
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
As camera and LiDAR sensors capture complementary information used in au...
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06/23/2022
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
The colorectal polyps classification is a critical clinical examination....
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06/21/2022
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Integrating multi-modal data to improve medical image analysis has recei...
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06/16/2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Despite the considerable progress in automatic abdominal multi-organ seg...
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01/13/2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Dancing video retargeting aims to synthesize a video that transfers the ...
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12/06/2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
Recent advanced methods for fashion landmark detection are mainly driven...
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08/17/2021
End-to-End Dense Video Captioning with Parallel Decoding
Dense video captioning aims to generate multiple associated captions wit...
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08/02/2021
Shallow Attention Network for Polyp Segmentation
Accurate polyp segmentation is of great importance for colorectal cancer...
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07/08/2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Crowd counting is critical for numerous video surveillance scenarios. On...
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06/28/2021
Multi-Compound Transformer for Accurate Biomedical Image Segmentation
The recent vision transformer(i.e.for image classification) learns non-l...
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05/05/2021
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
Reducing the complexity of the pipeline of instance segmentation is cruc...
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04/30/2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Point Cloud Sampling and Recovery (PCSR) is critical for massive real-ti...
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03/08/2021
Parser-Free Virtual Try-on via Distilling Appearance Flows
Image virtual try-on aims to fit a garment image (target clothes) to a p...
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03/01/2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
Compared with the visual grounding in 2D images, the natural-language-gu...
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12/07/2020
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
LiDAR point cloud analysis is a core task for 3D computer vision, especi...
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11/26/2020
SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training
Although a polygon is a more accurate representation than an upright bou...
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11/10/2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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09/16/2020
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Aggregating multi-level feature representation plays a critical role in ...
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03/19/2020
Exemplar Normalization for Learning Deep Representation
Normalization techniques are important in different advanced neural netw...
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03/12/2020
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
Image visual try-on aims at transferring a target clothing image onto a ...
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08/16/2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Group convolution, which divides the channels of ConvNets into groups, h...
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08/16/2019
Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks
Group convolution, which divides the channels of ConvNets into groups, h...
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08/14/2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Modern deep neural networks are often vulnerable to adversarial samples....
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07/22/2019
Switchable Normalization for Learning-to-Normalize Deep Representation
We address a learning-to-normalize problem by proposing Switchable Norma...
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03/09/2019
SSN: Learning Sparse Switchable Normalization via SparsestMax
Normalization methods improve both optimization and generalization of Co...
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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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11/19/2018
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Yes, they do. This work investigates a perspective for deep learning: wh...
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10/10/2018
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Semantic image parsing, which refers to the process of decomposing image...
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09/01/2018
Attentive Crowd Flow Machines
Traffic flow prediction is crucial for urban traffic management and publ...
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07/16/2018
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification
Video person re-identification attracts much attention in recent years. ...
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09/27/2017
Scene Parsing by Weakly Supervised Learning with Image Descriptions
This paper investigates a fundamental problem of scene understanding: ho...
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01/13/2017
Cost-Effective Active Learning for Deep Image Classification
Recent successes in learning-based image classification, however, heavil...
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04/08/2016
Deep Structured Scene Parsing by Learning with Image Descriptions
This paper addresses a fundamental problem of scene understanding: How t...
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04/07/2016
Geometric Scene Parsing with Hierarchical LSTM
This paper addresses the problem of geometric scene parsing, i.e. simult...
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02/03/2015
Deep Boosting: Layered Feature Mining for General Image Classification
Constructing effective representations is a critical but challenging pro...
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02/02/2015
