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09/18/2023
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
In this study, we address the challenge of 3D scene structure recovery f...
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09/06/2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
3D dense captioning requires a model to translate its understanding of a...
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08/22/2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Recent strides in Text-to-3D techniques have been propelled by distillin...
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08/20/2023
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...
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07/20/2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Reconstructing accurate 3D scenes from images is a long-standing vision ...
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06/26/2023
MotionGPT: Human Motion as a Foreign Language
Though the advancement of pre-trained large language models unfolds, the...
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06/05/2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
Recently, deep learning-based facial landmark detection has achieved sig...
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05/30/2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
The recent advancements in image-text diffusion models have stimulated r...
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04/03/2023
Disentangled Pre-training for Image Matting
Image matting requires high-quality pixel-level human annotations to sup...
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01/30/2023
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
Since the introduction of Vision Transformers, the landscape of many com...
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01/17/2023
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
Neural Radiance Fields (NeRF) has achieved impressive results in single ...
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01/06/2023
End-to-End 3D Dense Captioning with Vote2Cap-DETR
3D dense captioning aims to generate multiple captions localized with th...
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12/08/2022
Executing your Commands via Motion Diffusion in Latent Space
We study a challenging task, conditional human motion generation, which ...
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10/27/2022
Learning Variational Motion Prior for Video-based Motion Capture
Motion capture from a monocular video is fundamental and crucial for us ...
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10/20/2022
Coordinates Are NOT Lonely – Codebook Prior Helps Implicit Neural 3D Representations
Implicit neural 3D representation has achieved impressive results in sur...
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10/18/2022
Hierarchical Normalization for Robust Monocular Depth Estimation
In this paper, we address monocular depth estimation with deep neural ne...
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09/19/2022
D D: Learning Human Dynamics from Dynamic Camera
3D human pose estimation from a monocular video has recently seen signif...
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05/28/2022
Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior
Facial semantic guidance (facial landmarks, facial parsing maps, facial ...
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05/22/2022
Preparing data for pathological artificial intelligence with clinical-grade performance
[Purpose] The pathology is decisive for disease diagnosis, but relies he...
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04/12/2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Although vision transformers (ViTs) have achieved great success in compu...
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10/10/2021
Sketch Me A Video
Video creation has been an attractive yet challenging task for artists t...
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10/10/2021
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment
Recent face reenactment works are limited by the coarse reference landma...
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09/28/2021
A multi-stage semi-supervised improved deep embedded clustering (MS-SSIDEC) method for bearing fault diagnosis under the situation of insufficient labeled samples
Intelligent data-driven fault diagnosis methods have been widely applied...
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08/30/2021
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
The goal of few-shot fine-grained image classification is to recognize r...
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08/24/2021
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper...
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06/07/2021
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Very recently, Window-based Transformers, which computed self-attention ...
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05/15/2021
Multi-scale super-resolution generation of low-resolution scanned pathological images
Digital pathology slide is easy to store and manage, convenient to brows...
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04/05/2020
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
The low-level details and high-level semantics are both essential to the...
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04/03/2020
Context Prior for Scene Segmentation
Recent works have widely explored the contextual dependencies to achieve...
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03/18/2020
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims to match occluded person i...
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11/17/2019
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Real-time semantic segmentation plays a significant role in industry app...
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11/14/2019
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Visual tracking problem demands to efficiently perform robust classifica...
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09/27/2019
Learnable Tree Filter for Structure-preserving Feature Transform
Learning discriminative global features plays a vital role in semantic s...
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09/22/2019
Double Anchor R-CNN for Human Detection in a Crowd
Detecting human in a crowd is a challenging problem due to the uncertain...
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08/26/2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
This report presents our method which wins the nuScenes3D Detection Chal...
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08/16/2019
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Scene text detection, an important step of scene text reading systems, h...
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05/31/2019
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection
Current state-of-the-art approaches for spatio-temporal action detection...
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03/28/2019
ThunderNet: Towards Real-time Generic Object Detection
Real-time generic object detection on mobile platforms is a crucial but ...
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03/12/2019
An End-to-End Network for Panoptic Segmentation
Panoptic segmentation, which needs to assign a category label to each pi...
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02/19/2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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01/01/2019
Rethinking on Multi-Stage Networks for Human Pose Estimation
Existing pose estimation approaches can be categorized into single-stage...
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11/21/2018
Scene Text Detection with Supervised Pyramid Context Network
Scene text detection methods based on deep learning have achieved remark...
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11/19/2018
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Recent advances in deep convolutional neural networks (CNNs) have motiva...
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08/02/2018
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Semantic segmentation requires both rich spatial information and sizeabl...
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04/30/2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Human detection has witnessed impressive progress in recent years. Howev...
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04/25/2018
Learning a Discriminative Feature Network for Semantic Segmentation
Most existing methods of semantic segmentation still suffer from two asp...
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04/18/2018
SFace: An Efficient Network for Face Detection in Large Scale Variations
Face detection serves as a fundamental research topic for many applicati...
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04/17/2018
DetNet: A Backbone network for Object Detection
Recent CNN based object detectors, no matter one-stage methods like YOLO...
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12/04/2017
SOT for MOT
In this paper we present a robust tracker to solve the multiple object t...
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11/20/2017