b'Hongsheng Li'

Semantic Scene Completion via Integrating Instances and Scene in-the-Loop

Semantic Scene Completion aims at reconstructing a complete 3D scene wit...
04/08/2021 ∙ by Yingjie Cai, et al. ∙ 0 ∙ share

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LIFE: Lighting Invariant Flow Estimation

We tackle the problem of estimating flow between two images with large l...
04/07/2021 ∙ by Zhaoyang Huang, et al. ∙ 0 ∙ share

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FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

Radiotherapy is a treatment where radiation is used to eliminate cancer ...
04/05/2021 ∙ by Yunhe Gao, et al. ∙ 34 ∙ share

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Fixing the Teacher-Student Knowledge Discrepancy in Distillation

Training a small student network with the guidance of a larger teacher n...
03/31/2021 ∙ by Jiangfan Han, et al. ∙ 0 ∙ share

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AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks

Significant progress has been achieved in automating the design of vario...
03/25/2021 ∙ by Hao Li, et al. ∙ 13 ∙ share

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DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

Conditional generative adversarial networks (cGANs) target at synthesizi...
03/14/2021 ∙ by Rui Liu, et al. ∙ 4 ∙ share

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ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection

We present a new domain adaptive self-training pipeline, named ST3D, for...
03/09/2021 ∙ by Jihan Yang, et al. ∙ 18 ∙ share

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Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

Sparsity in Deep Neural Networks (DNNs) has been widely studied to compr...
02/08/2021 ∙ by Aojun Zhou, et al. ∙ 0 ∙ share

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PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

3D object detection is receiving increasing attention from both industry...
01/31/2021 ∙ by Shaoshuai Shi, et al. ∙ 5 ∙ share

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Fast Convergence of DETR with Spatially Modulated Co-Attention

The recently proposed Detection Transformer (DETR) model successfully ap...
01/19/2021 ∙ by Peng Gao, et al. ∙ 8 ∙ share

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Consensus-Guided Correspondence Denoising

Correspondence selection between two groups of feature points aims to co...
01/03/2021 ∙ by Chen Zhao, et al. ∙ 2 ∙ share

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A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection

Both high-level and high-resolution feature representations are of great...
12/18/2020 ∙ by Jianbo Liu, et al. ∙ 0 ∙ share

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LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

With the rapid advances of autonomous driving, it becomes critical to eq...
11/24/2020 ∙ by Fangzhou Hong, et al. ∙ 3 ∙ share

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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...
11/19/2020 ∙ by Xinge Zhu, et al. ∙ 0 ∙ share

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End-to-End Object Detection with Adaptive Clustering Transformer

End-to-end Object Detection with Transformer (DETR)proposes to perform o...
11/18/2020 ∙ by Minghang Zheng, et al. ∙ 0 ∙ share

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SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

Recent learning-based LiDAR odometry methods have demonstrated their com...
10/19/2020 ∙ by Yan Xu, et al. ∙ 0 ∙ share

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PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges

In this technical report, we present the top-performing LiDAR-only solut...
08/28/2020 ∙ by Shaoshuai Shi, et al. ∙ 0 ∙ share

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EfficientFCN: Holistically-guided Decoding for Semantic Segmentation

Both performance and efficiency are important to semantic segmentation. ...
08/24/2020 ∙ by Jianbo Liu, et al. ∙ 13 ∙ share

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Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

Multi-organ segmentation has extensive applications in many clinical app...
08/17/2020 ∙ by Rui Huang, et al. ∙ 18 ∙ share

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Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

We propose a novel algorithm, named Open-Edit, which is the first attemp...
08/04/2020 ∙ by Xihui Liu, et al. ∙ 13 ∙ share

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Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

State-of-the-art methods for large-scale driving-scene LiDAR semantic se...
08/04/2020 ∙ by Hui Zhou, et al. ∙ 8 ∙ share

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Balanced Meta-Softmax for Long-Tailed Visual Recognition

Deep classifiers have achieved great success in visual recognition. Howe...
07/21/2020 ∙ by Jiawei Ren, et al. ∙ 17 ∙ share

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Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

This technical report presents an overview of our solution used in the s...
07/20/2020 ∙ by Haisheng Su, et al. ∙ 2 ∙ share

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Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation

Depth information has proven to be a useful cue in the semantic segmenta...
07/17/2020 ∙ by Xiaokang Chen, et al. ∙ 0 ∙ share

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1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

This technical report introduces our winning solution to the spatio-temp...
06/16/2020 ∙ by Siyu Chen, et al. ∙ 0 ∙ share

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Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

Localizing persons and recognizing their actions from videos is a challe...
06/14/2020 ∙ by Junting Pan, et al. ∙ 7 ∙ share

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Self-supervising Fine-grained Region Similarities for Large-scale Image Localization

The task of large-scale retrieval-based image localization is to estimat...
06/06/2020 ∙ by Yixiao Ge, et al. ∙ 16 ∙ share

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Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

Domain adaptive object re-ID aims to transfer the learned knowledge from...
06/04/2020 ∙ by Yixiao Ge, et al. ∙ 16 ∙ share

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StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching

Large-scale synthetic datasets are beneficial to stereo matching but usu...
05/05/2020 ∙ by Rui Liu, et al. ∙ 7 ∙ share

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Learning to Predict Context-adaptive Convolution for Semantic Segmentation

Long-range contextual information is essential for achieving high-perfor...
04/17/2020 ∙ by Jianbo Liu, et al. ∙ 0 ∙ share

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3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior

The goal of the Semantic Scene Completion (SSC) task is to simultaneousl...
03/31/2020 ∙ by Xiaokang Chen, et al. ∙ 0 ∙ share

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Structured Domain Adaptation for Unsupervised Person Re-identification

Unsupervised domain adaptation (UDA) aims at adapting the model trained ...
03/14/2020 ∙ by Yixiao Ge, et al. ∙ 13 ∙ share

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Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation

Monocular 3D object detection task aims to predict the 3D bounding boxes...
02/05/2020 ∙ by Yingjie Cai, et al. ∙ 23 ∙ share

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Structure-Feature based Graph Self-adaptive Pooling

Various methods to deal with graph data have been proposed in recent yea...
01/30/2020 ∙ by Liang Zhang, et al. ∙ 11 ∙ share

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Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

Person re-identification (re-ID) aims at identifying the same persons' i...
01/06/2020 ∙ by Yixiao Ge, et al. ∙ 0 ∙ share

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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

We present a novel and high-performance 3D object detection framework, n...
12/31/2019 ∙ by Shaoshuai Shi, et al. ∙ 0 ∙ share

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Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

Semantic image synthesis aims at generating photorealistic images from s...
10/15/2019 ∙ by Xihui Liu, et al. ∙ 33 ∙ share

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Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

Depth completion aims to recover dense depth maps from sparse depth meas...
10/15/2019 ∙ by Yan Xu, et al. ∙ 27 ∙ share

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CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

Text-image cross-modal retrieval is a challenging task in the field of l...
09/12/2019 ∙ by Zihao Wang, et al. ∙ 0 ∙ share

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Interpolated Convolutional Networks for 3D Point Cloud Understanding

Point cloud is an important type of 3D representation. However, directly...
08/13/2019 ∙ by Jiageng Mao, et al. ∙ 4 ∙ share

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Multi-modality Latent Interaction Network for Visual Question Answering

Exploiting relationships between visual regions and question words have ...
08/10/2019 ∙ by Peng Gao, et al. ∙ 14 ∙ share

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FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images

In this paper, we propose an end-to-end deep neural network for solving ...
07/28/2019 ∙ by Yunhe Gao, et al. ∙ 5 ∙ share

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Signet Ring Cell Detection With a Semi-supervised Learning Framework

Signet ring cell carcinoma is a type of rare adenocarcinoma with poor pr...
07/09/2019 ∙ by Jiahui Li, et al. ∙ 2 ∙ share

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Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud

In this paper, we propose the part-aware and aggregation neural network ...
07/08/2019 ∙ by Shaoshuai Shi, et al. ∙ 0 ∙ share

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P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...
05/07/2019 ∙ by Xiao Zhang, et al. ∙ 14 ∙ share

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AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

The cosine-based softmax losses and their variants achieve great success...
05/01/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Generalizing Monocular 3D Human Pose Estimation in the Wild

The availability of the large-scale labeled 3D poses in the Human3.6M da...
04/11/2019 ∙ by Luyang Wang, et al. ∙ 0 ∙ share

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Conditional Adversarial Generative Flow for Controllable Image Synthesis

Flow-based generative models show great potential in image synthesis due...
04/03/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Group-wise Correlation Stereo Network

Stereo matching estimates the disparity between a rectified image pair, ...
03/10/2019 ∙ by Xiaoyang Guo, et al. ∙ 0 ∙ share

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Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize

Unsupervised cross-spectral stereo matching aims at recovering disparity...
03/04/2019 ∙ by Mingyang Liang, et al. ∙ 0 ∙ share

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Hongsheng Li

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