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09/09/2023
Deep Video Restoration for Under-Display Camera
Images or videos captured by the Under-Display Camera (UDC) suffer from ...
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08/15/2023
Memory-and-Anticipation Transformer for Online Action Understanding
Most existing forecasting systems are memory-based methods, which attemp...
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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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05/29/2023
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Image restoration in adverse weather conditions is a difficult task in c...
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05/22/2023
VideoLLM: Modeling Video Sequence with Large Language Models
With the exponential growth of video data, there is an urgent need for a...
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05/19/2023
Graph Propagation Transformer for Graph Representation Learning
This paper presents a novel transformer architecture for graph represent...
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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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04/24/2023
MRSN: Multi-Relation Support Network for Video Action Detection
Action detection is a challenging video understanding task, requiring mo...
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03/30/2023
DDP: Diffusion Model for Dense Visual Prediction
We propose a simple, efficient, yet powerful framework for dense visual ...
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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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12/22/2022
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
As the quality of optical sensors improves, there is a need for processi...
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12/22/2022
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Image restoration under hazy weather condition, which is called single i...
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11/17/2022
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
In this report, we present our champion solutions to five tracks at Ego4...
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11/16/2022
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022
Capturing the state changes of interacting objects is a key technology f...
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11/16/2022
Exploring Detection-based Method For Speaker Diarization @ Ego4D Audio-only Diarization Challenge 2022
We provide the technical report for Ego4D audio-only diarization challen...
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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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11/05/2022
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal
Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Q...
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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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07/21/2022
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer
Point cloud completion has become increasingly popular among generation ...
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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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05/17/2022
Uncertainty-based Network for Few-shot Image Classification
The transductive inference is an effective technique in the few-shot lea...
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05/05/2022
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection
Temporal action detection (TAD) is extensively studied in the video unde...
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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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03/23/2022
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds
Point normal, as an intrinsic geometric property of 3D objects, not only...
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12/07/2021
DCAN: Improving Temporal Action Detection via Dual Context Aggregation
Temporal action detection aims to locate the boundaries of action in the...
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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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10/23/2021
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Deep-learning based Super-Resolution (SR) methods have exhibited promisi...
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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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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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08/18/2021
Adaptive Graph Convolution for Point Cloud Analysis
Convolution on 3D point clouds that generalized from 2D grid-like domain...
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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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12/18/2020
Frequency Consistent Adaptation for Real World Super Resolution
Recent deep-learning based Super-Resolution (SR) methods have achieved r...
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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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06/28/2020
Dynamic Sampling Networks for Efficient Action Recognition in Videos
The existing action recognition methods are mainly based on clip-level c...
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06/16/2020
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification
In this paper, we proposed a pipeline for inferring the relationship of ...
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05/26/2020
A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video
Detecting text located on the torsos of marathon runners and sports play...
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05/14/2020
TAM: Temporal Adaptive Module for Video Recognition
Temporal modeling is crucial for capturing spatiotemporal structure in v...
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11/21/2019
TEINet: Towards an Efficient Architecture for Video Recognition
Efficiency is an important issue in designing video architectures for ac...
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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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03/02/2019
Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II
StarCraft II provides an extremely challenging platform for reinforcemen...
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09/23/2018
On Reinforcement Learning for Full-length Game of StarCraft
StarCraft II poses a grand challenge for reinforcement learning. The mai...
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06/19/2018
A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification
Identifying crime for forensic investigating teams when crimes involve p...
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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