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08/04/2023
FB-BEV: BEV Representation from Forward-Backward View Transformations
View Transformation Module (VTM), where transformations happen between m...
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08/03/2023
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
We present the All-Seeing (AS) project: a large-scale data and model for...
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07/03/2023
AVSegFormer: Audio-Visual Segmentation with Transformer
The combination of audio and vision has long been a topic of interest in...
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06/02/2023
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling
The evolution of semantic segmentation has long been dominated by learni...
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05/18/2023
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Large language models (LLMs) have notably accelerated progress towards a...
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05/18/2023
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
Automatically generating human-readable text describing the functionalit...
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05/10/2023
VideoChat: Chat-Centric Video Understanding
In this study, we initiate an exploration into video understanding by in...
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05/09/2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
We present an interactive visual framework named InternGPT, or iGPT for ...
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01/22/2023
Champion Solution for the WSDM2023 Toloka VQA Challenge
In this report, we present our champion solution to the WSDM2023 Toloka ...
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12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
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12/03/2022
VLG: General Video Recognition with Web Textual Knowledge
Video recognition in an open and dynamic world is quite challenging, as ...
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11/17/2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Despite the remarkable success of foundation models, their task-specific...
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11/10/2022
Demystify Transformers Convolutions in Modern Image Deep Networks
Recent success of vision transformers has inspired a series of vision ba...
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11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
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09/23/2022
On Efficient Reinforcement Learning for Full-length Game of StarCraft II
StarCraft II (SC2) poses a grand challenge for reinforcement learning (R...
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07/26/2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation
Incremental few-shot semantic segmentation (IFSS) targets at incremental...
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06/09/2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
To build an artificial neural network like the biological intelligence s...
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05/17/2022
Vision Transformer Adapter for Dense Predictions
This work investigates a simple yet powerful adapter for Vision Transfor...
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04/21/2022
Hybrid Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
Industrial control systems (ICSs) are facing increasing cyber-physical a...
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03/31/2022
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
3D visual perception tasks, including 3D detection and map segmentation ...
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03/16/2022
WegFormer: Transformers for Weakly Supervised Semantic Segmentation
Although convolutional neural networks (CNNs) have achieved remarkable p...
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11/26/2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Deep learning-based models encounter challenges when processing long-tai...
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11/03/2021
FAST: Searching for a Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
We propose an accurate and efficient scene text detection framework, ter...
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10/20/2021
ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter
Recent approaches for end-to-end text spotting have achieved promising r...
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09/08/2021
Panoptic SegFormer
We present Panoptic SegFormer, a general framework for end-to-end panopt...
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09/04/2021
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction
A single unit (head) is the conventional input feature extractor in deep...
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08/25/2021
Learning Class-level Prototypes for Few-shot Learning
Few-shot learning aims to recognize new categories using very few labele...
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08/16/2021
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Most polyp segmentation methods use CNNs as their backbone, leading to t...
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05/31/2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
We present SegFormer, a simple, efficient yet powerful semantic segmenta...
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05/05/2021
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
Reducing the complexity of the pipeline of instance segmentation is cruc...
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04/14/2021
An Introduction of mini-AlphaStar
StarCraft II (SC2) is a real-time strategy game, in which players produc...
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03/22/2021
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
We present an extremely simple Ultra-Resolution Style Transfer framework...
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02/09/2021
DetCo: Unsupervised Contrastive Learning for Object Detection
Unsupervised contrastive learning achieves great success in learning ima...
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01/21/2021
Trans2Seg: Transparent Object Segmentation with Transformer
This work presents a new fine-grained transparent object segmentation da...
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11/26/2020
SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training
Although a polygon is a more accurate representation than an upright bou...
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08/03/2020
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
Scene text spotting aims to detect and recognize the entire word or sent...
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07/23/2020
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
Multi-person pose estimation is challenging because it localizes body ke...
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05/07/2020
Scene Text Image Super-Resolution in the Wild
Low-resolution text images are often seen in natural scenes such as docu...
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03/31/2020
Segmenting Transparent Objects in the Wild
Transparent objects such as windows and bottles made by glass widely exi...
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09/29/2019
PolarMask: Single Shot Instance Segmentation with Polar Representation
In this paper, we introduce an anchor-box free and single shot instance ...
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09/16/2019
TextSR: Content-Aware Text Super-Resolution Guided by Recognition
Scene text recognition has witnessed rapid development with the advance ...
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08/16/2019
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Scene text detection, an important step of scene text reading systems, h...
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03/15/2019
Selective Kernel Networks
In standard Convolutional Neural Networks (CNNs), the receptive fields o...
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06/07/2018
Shape Robust Text Detection with Progressive Scale Expansion Network
The challenges of shape robust text detection lie in two aspects: 1) mos...
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02/06/2018