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08/25/2023
Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
Current prevailing Video Object Segmentation (VOS) methods usually perfo...
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08/09/2023
Robust Object Modeling for Visual Tracking
Object modeling has become a core part of recent tracking frameworks. Cu...
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07/31/2023
Lightweight Super-Resolution Head for Human Pose Estimation
Heatmap-based methods have become the mainstream method for pose estimat...
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07/14/2023
MaxSR: Image Super-Resolution Using Improved MaxViT
While transformer models have been demonstrated to be effective for natu...
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05/25/2023
MixFormerV2: Efficient Fully Transformer Tracking
Transformer-based trackers have achieved strong accuracy on the standard...
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04/26/2023
Video Frame Interpolation with Densely Queried Bilateral Correlation
Video Frame Interpolation (VFI) aims to synthesize non-existent intermed...
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04/17/2023
Efficient Video Action Detection with Token Dropout and Context Refinement
Streaming video clips with large-scale video tokens impede vision transf...
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04/11/2023
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
Multi-object tracking in sports scenes plays a critical role in gatherin...
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03/28/2023
CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection
The relation modeling between actors and scene context advances video ac...
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03/28/2023
LinK: Linear Kernel for LiDAR-based 3D Perception
Extending the success of 2D Large Kernel to 3D perception is challenging...
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03/28/2023
STMixer: A One-Stage Sparse Action Detector
Traditional video action detectors typically adopt the two-stage pipelin...
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03/01/2023
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
Effectively extracting inter-frame motion and appearance information is ...
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02/13/2023
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Current RGB-D scene recognition approaches often train two standalone ba...
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11/30/2022
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution
Image super-resolution (SR) serves as a fundamental tool for the process...
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07/09/2022
Human-centric Spatio-Temporal Video Grounding via the Combination of Mutual Matching Network and TubeDETR
In this technical report, we represent our solution for the Human-centri...
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05/02/2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
Point-cloud-based 3D classification task involves aggregating features f...
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04/18/2022
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution
Runtime and memory consumption are two important aspects for efficient i...
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03/21/2022
MixFormer: End-to-End Tracking with Iterative Mixed Attention
Tracking often uses a multi-stage pipeline of feature extraction, target...
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03/01/2022
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection
Generic Boundary Detection (GBD) aims at locating general boundaries tha...
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12/31/2021
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning
Deep convolutional neural networks have been demonstrated to be effectiv...
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11/27/2021
AdaDM: Enabling Normalization for Image Super-Resolution
Normalization like Batch Normalization (BN) is a milestone technique to ...
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10/24/2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
The existing few-shot video classification methods often employ a meta-l...
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09/13/2021
Mutual Supervision for Dense Object Detection
The classification and regression head are both indispensable components...
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09/10/2021
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Temporal grounding aims to localize a video moment which is semantically...
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09/09/2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
Deep learning has achieved remarkable progress for visual recognition on...
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08/18/2021
Target Adaptive Context Aggregation for Video Scene Graph Generation
This paper deals with a challenging task of video scene graph generation...
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06/06/2021
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
Three-dimensional face dense alignment and reconstruction in the wild is...
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05/20/2021
Anchor-based Plain Net for Mobile Image Super-Resolution
Along with the rapid development of real-world applications, higher requ...
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05/16/2021
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
Spatio-temporal action detection is an important and challenging problem...
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04/20/2021
MGSampler: An Explainable Sampling Strategy for Video Action Recognition
Frame sampling is a fundamental problem in video action recognition due ...
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04/01/2021
Target Transformed Regression for Accurate Tracking
Accurate tracking is still a challenging task due to appearance variatio...
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02/03/2021
Relaxed Transformer Decoders for Direct Action Proposal Generation
Temporal action proposal generation is an important and challenging task...
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12/18/2020
TDN: Temporal Difference Networks for Efficient Action Recognition
Temporal modeling still remains challenging for action recognition in vi...
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09/24/2020
Residual Feature Distillation Network for Lightweight Image Super-Resolution
Recent advances in single image super-resolution (SISR) explored the pow...
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09/15/2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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07/20/2020
Context-Aware RCNN: A Baseline for Action Detection in Videos
Video action detection approaches usually conduct actor-centric action r...
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04/15/2020
Fully Convolutional Online Tracking
Discriminative training has turned out to be effective for robust tracki...
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01/14/2020
Actions as Moving Points
The existing action tubelet detectors mainly depend on heuristic anchor ...
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11/23/2019
Simple and Lightweight Human Pose Estimation
Recent research on human pose estimation has achieved significant improv...
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08/12/2019
LIP: Local Importance-based Pooling
Spatial downsampling layers are favored in convolutional neural networks...
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05/27/2019
Dynamically Visual Disambiguation of Keyword-based Image Search
Due to the high cost of manual annotation, learning directly from the we...
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04/28/2019
Translate-to-Recognize Networks for RGB-D Scene Recognition
Cross-modal transfer is helpful to enhance modality-specific discriminat...
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04/23/2019
