b'Chunhua Shen'

research

∙ 09/18/2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering

In this study, we address the challenge of 3D scene structure recovery f...

0 Chi Zhang, et al. ∙

research

∙ 08/20/2023

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data

The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...

0 Yanda Li, et al. ∙

research

∙ 08/13/2023

Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval

In this work, by re-examining the "matching" nature of Anomaly Detection...

0 Hanxi Li, et al. ∙

research

∙ 08/11/2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

Current deep networks are very data-hungry and benefit from training on ...

0 Weijia Wu, et al. ∙

research

∙ 08/10/2023

FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models

3D scene reconstruction is a long-standing vision task. Existing approac...

0 Guangkai Xu, et al. ∙

research

∙ 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 ...

0 Wei Yin, et al. ∙

research

∙ 07/19/2023

Generative Prompt Model for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) remains challenging when le...

0 Yuzhong Zhao, et al. ∙

research

∙ 06/06/2023

Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer

Anomaly Detection is challenging as usually only the normal samples are ...

0 Hanxi Li, et al. ∙

research

∙ 05/31/2023

A Geometric Perspective on Diffusion Models

Recent years have witnessed significant progress in developing efficient...

0 Defang Chen, et al. ∙

research

∙ 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...

0 Chi Zhang, et al. ∙

research

∙ 05/29/2023

Learning Conditional Attributes for Compositional Zero-Shot Learning

Compositional Zero-Shot Learning (CZSL) aims to train models to recogniz...

0 Qingsheng Wang, et al. ∙

research

∙ 05/28/2023

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Large pre-trained models (LPMs), such as LLaMA and ViT-G, have shown exc...

0 Mingyang Zhang, et al. ∙

research

∙ 04/06/2023

SegGPT: Segmenting Everything In Context

We present SegGPT, a generalist model for segmenting everything in conte...

0 Xinlong Wang, et al. ∙

research

∙ 03/30/2023

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Large-scale text-to-image diffusion models achieve unprecedented success...

0 Wen Wang, et al. ∙

research

∙ 03/24/2023

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction

As it is hard to calibrate single-view RGB images in the wild, existing ...

0 Wenjia Wang, et al. ∙

research

∙ 03/21/2023

DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Collecting and annotating images with pixel-wise labels is time-consumin...

0 Weijia Wu, et al. ∙

research

∙ 03/06/2023

Traffic Scene Parsing through the TSP6K Dataset

Traffic scene parsing is one of the most important tasks to achieve inte...

0 Peng-Tao Jiang, et al. ∙

research

∙ 02/02/2023

A Survey on Efficient Training of Transformers

Recent advances in Transformers have come with a huge requirement on com...

0 Bohan Zhuang, et al. ∙

research

∙ 01/04/2023

SPTS v2: Single-Point Scene Text Spotting

End-to-end scene text spotting has made significant progress due to its ...

0 Yuliang Liu, et al. ∙

research

∙ 12/05/2022

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

In-context learning, as a new paradigm in NLP, allows the model to rapid...

0 Xinlong Wang, et al. ∙

research

∙ 11/13/2022

Learning from partially labeled data for multi-organ and tumor segmentation

Medical image benchmarks for the segmentation of organs and tumors suffe...

0 Yutong Xie, et al. ∙

research

∙ 11/07/2022

SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes

Self-supervised monocular depth estimation has shown impressive results ...

0 Libo Sun, et al. ∙

research

∙ 10/18/2022

Hierarchical Normalization for Robust Monocular Depth Estimation

In this paper, we address monocular depth estimation with deep neural ne...

0 Chi Zhang, et al. ∙

research

∙ 10/13/2022

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

Deep learning models have shown their vulnerability when dealing with ad...

0 Shuai Jia, et al. ∙

research

∙ 07/29/2022

Towards Domain-agnostic Depth Completion

Existing depth completion methods are often targeted at a specific spars...

0 Wei Yin, et al. ∙

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 ...

0 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...

0 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...

4 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...

0 Zhi Tian, et al. ∙

research

∙ 05/23/2022

Super Vision Transformer

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

0 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 ...

9 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...

2 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...

3 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...

0 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...

0 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...

0 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...

0 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...

59 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...

4 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...

15 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...

4 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 ...

0 Yutong Dai, et al. ∙

research

∙ 12/15/2021

SPTS: Single-Point Text Spotting

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

0 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...

10 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...

0 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...

13 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...

0 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 ...

0 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...

17 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...

0 Ruibo Li, et al. ∙

Chunhua Shen

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