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09/07/2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
As it is empirically observed that Vision Transformers (ViTs) are quite ...
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08/30/2023
AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization
Contrastive Language-Image Pre-training (CLIP) models have shown promisi...
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08/07/2023
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels
LiDAR-based fully sparse architecture has garnered increasing attention....
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08/02/2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
The Class Incremental Semantic Segmentation (CISS) extends the tradition...
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07/31/2023
DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) is a practical yet...
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06/20/2023
BMAD: Benchmarks for Medical Anomaly Detection
Anomaly detection (AD) is a fundamental research problem in machine lear...
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06/19/2023
Visually-Guided Sound Source Separation with Audio-Visual Predictive Coding
The framework of visually-guided sound source separation generally consi...
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06/16/2023
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Comprehensive modeling of the surrounding 3D world is key to the success...
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06/08/2023
2D Supervised Monocular 3D Object Detection by Global-to-Local 3D Reconstruction
With the advent of the big model era, the demand for data has become mor...
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06/08/2023
Tracking Objects with 3D Representation from Videos
Data association is a knotty problem for 2D Multiple Object Tracking due...
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06/04/2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
The crux of label-efficient semantic segmentation is to produce high-qua...
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05/30/2023
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Computer end users have spent billions of hours completing daily tasks l...
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05/25/2023
Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
The captivating realm of Minecraft has attracted substantial research in...
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05/23/2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to transfer knowledge from a ...
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05/22/2023
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection
Data and model are the undoubtable two supporting pillars for LiDAR obje...
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04/24/2023
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection
This paper aims for high-performance offline LiDAR-based 3D object detec...
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04/12/2023
Hard Patches Mining for Masked Image Modeling
Masked image modeling (MIM) has attracted much research attention due to...
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03/27/2023
3D Video Object Detection with Learnable Object-Centric Global Optimization
We explore long-term temporal visual correspondence-based optimization f...
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03/27/2023
Learnable Graph Matching: A Practical Paradigm for Data Association
Data association is at the core of many computer vision tasks, e.g., mul...
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03/20/2023
Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images
The function of constructing the hierarchy of objects is important to th...
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03/16/2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Few-Shot transfer learning has become a major focus of research as it al...
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03/09/2023
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
It is widely agreed that reference-based super-resolution (RefSR) achiev...
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03/03/2023
Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models
The ability to discover abstract physical concepts and understand how th...
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01/10/2023
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
The transformation of features from 2D perspective space to 3D space is ...
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01/05/2023
Super Sparse 3D Object Detection
As the perception range of LiDAR expands, LiDAR-based 3D object detectio...
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11/30/2022
Extracting Semantic Knowledge from GANs with Unsupervised Learning
Recently, unsupervised learning has made impressive progress on various ...
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11/18/2022
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
We present a novel bird's-eye-view (BEV) detector with perspective super...
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11/08/2022
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
Reference-based image super-resolution (RefSR) is a promising SR branch ...
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10/25/2022
Pointly-Supervised Panoptic Segmentation
In this paper, we propose a new approach to applying point-level annotat...
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10/10/2022
4D Unsupervised Object Discovery
Object discovery is a core task in computer vision. While fast progresse...
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08/20/2022
MemoNav: Selecting Informative Memories for Visual Navigation
Image-goal navigation is a challenging task, as it requires the agent to...
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07/28/2022
Pro-tuning: Unified Prompt Tuning for Vision Tasks
In computer vision, fine-tuning is the de-facto approach to leverage pre...
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07/20/2022
Densely Constrained Depth Estimator for Monocular 3D Object Detection
Estimating accurate 3D locations of objects from monocular images is a c...
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07/20/2022
Fully Sparse 3D Object Detection
As the perception range of LiDAR increases, LiDAR-based 3D object detect...
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04/14/2022
Implicit Sample Extension for Unsupervised Person Re-Identification
Most existing unsupervised person re-identification (Re-ID) methods use ...
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03/25/2022
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Sound source localization in visual scenes aims to localize objects emit...
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03/24/2022
Sparse Instance Activation for Real-Time Instance Segmentation
In this paper, we propose a conceptually novel, efficient, and fully con...
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03/21/2022
HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network
Capsule networks are designed to present the objects by a set of parts a...
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03/17/2022
DATA: Domain-Aware and Task-Aware Pre-training
The paradigm of training models on massive data without label through se...
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03/16/2022
The Devil Is in the Details: Window-based Attention for Image Compression
Learned image compression methods have exhibited superior rate-distortio...
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01/14/2022
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks
Representation is a core issue in artificial intelligence. Humans use di...
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12/13/2021
Embracing Single Stride 3D Object Detector with Sparse Transformer
In LiDAR-based 3D object detection for autonomous driving, the ratio of ...
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11/26/2021
Immortal Tracker: Tracklet Never Dies
Previous online 3D Multi-Object Tracking(3DMOT) methods terminate a trac...
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06/22/2021
Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data
Benefited from considerable pixel-level annotations collected from a spe...
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06/21/2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Transfer learning with pre-training on large-scale datasets has played a...
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04/28/2021
Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness
Inpainting arbitrary missing regions is challenging because learning val...
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04/25/2021
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
A practical long-term tracker typically contains three key properties, i...
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04/17/2021
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
The two-stage methods for instance segmentation, e.g. Mask R-CNN, have a...
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04/12/2021
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Tremendous efforts have been made on instance segmentation but the mask ...
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04/06/2021
