b'Chunhua Shen'

research

∙ 06/22/2022

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization

Open-vocabulary object detection (OVD) aims to scale up vocabulary size ...

Peixian Chen, et al. ∙

research

∙ 06/14/2022

Efficient Decoder-free Object Detection with Transformers

Vision transformers (ViTs) are changing the landscape of object detectio...

Peixian Chen, et al. ∙

research

∙ 06/01/2022

Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations

Point annotations are considerably more time-efficient than bounding box...

Yongtao Ge, et al. ∙

research

∙ 05/27/2022

Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images

We present a simple yet effective fully convolutional one-stage 3D objec...

Zhi Tian, et al. ∙

research

∙ 05/23/2022

Super Vision Transformer

We attempt to reduce the computational costs in vision transformers (ViT...

Mingbao Lin, et al. ∙

research

∙ 04/29/2022

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

Large-scale vision-language pre-training has achieved promising results ...

Yuting Gao, et al. ∙

research

∙ 04/25/2022

PointInst3D: Segmenting 3D Instances by Points

The current state-of-the-art methods in 3D instance segmentation typical...

Tong He, et al. ∙

research

∙ 04/12/2022

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

Although vision transformers (ViTs) have achieved great success in compu...

Wenqiang Zhang, et al. ∙

research

∙ 04/04/2022

Improving Monocular Visual Odometry Using Learned Depth

Monocular visual odometry (VO) is an important task in robotics and comp...

Libo Sun, et al. ∙

research

∙ 03/20/2022

End-to-End Video Text Spotting with Transformer

Recent video text spotting methods usually require the three-staged pipe...

Weijia Wu, et al. ∙

research

∙ 03/16/2022

PointAttN: You Only Need Attention for Point Cloud Completion

Point cloud completion referring to completing 3D shapes from partial 3D...

Jun Wang, et al. ∙

research

∙ 03/13/2022

Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching

The development of scene text recognition (STR) in the era of deep learn...

Xiaojie Chu, et al. ∙

research

∙ 02/24/2022

FreeSOLO: Learning to Segment Objects without Annotations

Instance segmentation is a fundamental vision task that aims to recogniz...

Xinlong Wang, et al. ∙

research

∙ 02/22/2022

Retrieval Augmented Classification for Long-Tail Visual Recognition

We introduce Retrieval Augmented Classification (RAC), a generic approac...

Alexander Long, et al. ∙

research

∙ 02/03/2022

Boosting Monocular Depth Estimation with Sparse Guided Points

Existing monocular depth estimation shows excellent robustness in the wi...

Guangkai Xu, et al. ∙

research

∙ 01/19/2022

Poseur: Direct Human Pose Regression with Transformers

We propose a direct, regression-based approach to 2D human pose estimati...

Weian Mao, et al. ∙

research

∙ 01/18/2022

Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation

Deep image matting methods have achieved increasingly better results on ...

Yutong Dai, et al. ∙

research

∙ 12/15/2021

SPTS: Single-Point Text Spotting

Almost all scene text spotting (detection and recognition) methods rely ...

Dezhi Peng, et al. ∙

research

∙ 10/11/2021

TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency

The explanation for deep neural networks has drawn extensive attention i...

Lin Cheng, et al. ∙

research

∙ 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...

Chi Zhang, et al. ∙

research

∙ 07/18/2021

Dynamic Convolution for 3D Point Cloud Instance Segmentation

We propose an approach to instance segmentation from 3D point clouds bas...

Tong He, et al. ∙

research

∙ 06/30/2021

SOLO: A Simple Framework for Instance Segmentation

Compared to many other dense prediction tasks, e.g., semantic segmentati...

Xinlong Wang, et al. ∙

research

∙ 05/29/2021

FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions

We propose a fully convolutional multi-person pose estimation framework ...

Weian Mao, et al. ∙

research

∙ 05/25/2021

Unsupervised Scale-consistent Depth Learning from Video

We propose a monocular depth estimator SC-Depth, which requires only unl...

Jia-Wang Bian, et al. ∙

research

∙ 05/17/2021

HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding

Scene flow in 3D point clouds plays an important role in understanding d...

Ruibo Li, et al. ∙

research

∙ 05/08/2021

ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting

End-to-end text-spotting, which aims to integrate detection and recognit...

Yuliang Liu, et al. ∙

research

∙ 04/28/2021

Twins: Revisiting Spatial Attention Design in Vision Transformers

Very recently, a variety of vision transformer architectures for dense p...

Xiangxiang Chu, et al. ∙

research

∙ 04/19/2021

Kernel Agnostic Real-world Image Super-resolution

Recently, deep neural network models have achieved impressive results in...

Hu Wang, et al. ∙

research

∙ 04/12/2021

Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

In this paper, we propose a novel Feature Decomposition and Reconstructi...

Delian Ruan, et al. ∙

research

∙ 03/29/2021

An Adversarial Human Pose Estimation Network Injected with Graph Structure

Because of the invisible human keypoints in images caused by illuminatio...

Lei Tian, et al. ∙

research

∙ 03/29/2021

TFPose: Direct Human Pose Estimation with Transformers

We propose a human pose estimation framework that solves the task in the...

Weian Mao, et al. ∙

research

∙ 03/08/2021

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation

Dense optical flow estimation plays a key role in many robotic vision ta...

Lingtong Kong, et al. ∙

research

∙ 03/04/2021

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Convolutional neural networks (CNNs) have been the de facto standard for...

Yutong Xie, et al. ∙

research

∙ 02/05/2021

Instance and Panoptic Segmentation Using Conditional Convolutions

We propose a simple yet effective framework for instance and panoptic se...

Zhi Tian, et al. ∙

research

∙ 01/28/2021

Object Detection Made Simpler by Eliminating Heuristic NMS

We show a simple NMS-free, end-to-end object detection framework, of whi...

Qiang Zhou, et al. ∙

research

∙ 01/24/2021

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

The control of traffic signals is fundamental and critical to alleviate ...

Hu Wang, et al. ∙

research

∙ 01/13/2021

ABS: Automatic Bit Sharing for Model Compression

We present Automatic Bit Sharing (ABS) to automatically search for optim...

Jing Liu, et al. ∙

research

∙ 12/24/2020

Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration

Recently, much attention has been spent on neural architecture search (N...

Haokui Zhang, et al. ∙

research

∙ 12/21/2020

Diverse Knowledge Distillation for End-to-End Person Search

Person search aims to localize and identify a specific person from a gal...

Xinyu Zhang, et al. ∙

research

∙ 12/17/2020

Learning to Recover 3D Scene Shape from a Single Image

Despite significant progress in monocular depth estimation in the wild, ...

Wei Yin, et al. ∙

research

∙ 12/07/2020

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

Recently, hyperspectral image (HSI) classification approaches based on d...

Haokui Zhang, et al. ∙

research

∙ 12/03/2020

BoxInst: High-Performance Instance Segmentation with Box Annotations

We present a high-performance method that can achieve mask-level instanc...

Zhi Tian, et al. ∙

research

∙ 11/30/2020

End-to-End Video Instance Segmentation with Transformers

Video instance segmentation (VIS) is the task that requires simultaneous...

Yuqing Wang, et al. ∙

research

∙ 11/29/2020

Learning Affinity-Aware Upsampling for Deep Image Matting

We show that learning affinity in upsampling provides an effective and e...

Yutong Dai, et al. ∙

research

∙ 11/29/2020

Fully Quantized Image Super-Resolution Networks

With the rising popularity of intelligent mobile devices, it is of great...

Hu Wang, et al. ∙

research

∙ 11/26/2020

DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution

Previous top-performing approaches for point cloud instance segmentation...

Tong He, et al. ∙

research

∙ 11/25/2020

PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation

It has been widely recognized that the success of deep learning in image...

Yutong Xie, et al. ∙

research

∙ 11/23/2020

Graph Attention Tracking

Siamese network based trackers formulate the visual tracking task as a s...

Dongyan Guo, et al. ∙

research

∙ 11/21/2020

Robust Watermarking Using Inverse Gradient Attention

Watermarking is the procedure of encoding desired information into an im...

Honglei Zhang, et al. ∙

research

∙ 11/20/2020

DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

Due to the intensive cost of labor and expertise in annotating 3D medica...

Jianpeng Zhang, et al. ∙

Chunhua Shen

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