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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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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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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...
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08/11/2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Current deep networks are very data-hungry and benefit from training on ...
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08/10/2023
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models
3D scene reconstruction is a long-standing vision task. Existing approac...
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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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07/19/2023
Generative Prompt Model for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) remains challenging when le...
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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 ...
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05/31/2023
A Geometric Perspective on Diffusion Models
Recent years have witnessed significant progress in developing efficient...
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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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05/29/2023
Learning Conditional Attributes for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to train models to recogniz...
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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...
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04/06/2023
SegGPT: Segmenting Everything In Context
We present SegGPT, a generalist model for segmenting everything in conte...
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03/30/2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success...
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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 ...
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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...
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03/06/2023
Traffic Scene Parsing through the TSP6K Dataset
Traffic scene parsing is one of the most important tasks to achieve inte...
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02/02/2023
A Survey on Efficient Training of Transformers
Recent advances in Transformers have come with a huge requirement on com...
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01/04/2023
SPTS v2: Single-Point Scene Text Spotting
End-to-end scene text spotting has made significant progress due to its ...
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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...
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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...
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11/07/2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Self-supervised monocular depth estimation has shown impressive results ...
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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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10/13/2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Deep learning models have shown their vulnerability when dealing with ad...
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07/29/2022
Towards Domain-agnostic Depth Completion
Existing depth completion methods are often targeted at a specific spars...
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06/22/2022
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Open-vocabulary object detection (OVD) aims to scale up vocabulary size ...
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06/14/2022
Efficient Decoder-free Object Detection with Transformers
Vision transformers (ViTs) are changing the landscape of object detectio...
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06/01/2022
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations
Point annotations are considerably more time-efficient than bounding box...
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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...
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05/23/2022
Super Vision Transformer
We attempt to reduce the computational costs in vision transformers (ViT...
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04/29/2022
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
Large-scale vision-language pre-training has achieved promising results ...
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04/25/2022
PointInst3D: Segmenting 3D Instances by Points
The current state-of-the-art methods in 3D instance segmentation typical...
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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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04/04/2022
Improving Monocular Visual Odometry Using Learned Depth
Monocular visual odometry (VO) is an important task in robotics and comp...
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03/20/2022
End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipe...
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03/16/2022
PointAttN: You Only Need Attention for Point Cloud Completion
Point cloud completion referring to completing 3D shapes from partial 3D...
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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...
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02/24/2022
FreeSOLO: Learning to Segment Objects without Annotations
Instance segmentation is a fundamental vision task that aims to recogniz...
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02/22/2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
We introduce Retrieval Augmented Classification (RAC), a generic approac...
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02/03/2022
Boosting Monocular Depth Estimation with Sparse Guided Points
Existing monocular depth estimation shows excellent robustness in the wi...
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01/19/2022
Poseur: Direct Human Pose Regression with Transformers
We propose a direct, regression-based approach to 2D human pose estimati...
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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 ...
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12/15/2021
SPTS: Single-Point Text Spotting
Almost all scene text spotting (detection and recognition) methods rely ...
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10/11/2021
TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
The explanation for deep neural networks has drawn extensive attention i...
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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...
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07/18/2021
Dynamic Convolution for 3D Point Cloud Instance Segmentation
We propose an approach to instance segmentation from 3D point clouds bas...
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06/30/2021
SOLO: A Simple Framework for Instance Segmentation
Compared to many other dense prediction tasks, e.g., semantic segmentati...
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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 ...
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05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
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05/17/2021