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09/16/2023
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector
In this paper, we present frame reconstruction model: FrameRS. It consis...
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09/07/2023
Chasing Consistency in Text-to-3D Generation from a Single Image
Text-to-3D generation from a single-view image is a popular but challeng...
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08/28/2023
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Knowledge distillation (KD) has shown potential for learning compact mod...
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08/19/2023
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
Animal visual perception is an important technique for automatically mon...
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08/18/2023
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
Diffusion-based methods can generate realistic images and videos, but th...
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07/31/2023
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Recently, integrating video foundation models and large language models ...
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07/07/2023
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Deep learning has the potential to revolutionize sports performance, wit...
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06/29/2023
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling
Estimating 3D human poses only from a 2D human pose sequence is thorough...
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06/06/2023
Language Adaptive Weight Generation for Multi-task Visual Grounding
Although the impressive performance in visual grounding, the prevailing ...
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06/06/2023
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
As an important and challenging problem in computer vision, PAnoramic Se...
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03/29/2023
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation
When applying a pre-trained 2D-to-3D human pose lifting model to a targe...
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03/28/2023
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
Reducing the radiation dose in computed tomography (CT) is important to ...
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03/27/2023
Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
Medical images often contain artificial markers added by doctors, which ...
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03/01/2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
With the development of computer-assisted techniques, research communiti...
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02/15/2023
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
Cross-view multi-object tracking aims to link objects between frames and...
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02/14/2023
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Image-based fashion design with AI techniques has attracted increasing a...
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10/11/2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Spiking Neural Networks (SNNs), as one of the algorithmic models in neur...
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10/07/2022
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality
Multimodal sentiment analysis (MSA) is an important way of observing men...
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07/24/2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Anomaly detection aims at identifying deviant samples from the normal da...
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05/22/2022
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
Multi-object tracking (MOT) aims to associate target objects across vide...
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05/01/2022
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition
Video-based action recognition is one of the most popular topics in comp...
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04/27/2022
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training
Recently, much progress has been made for self-supervised action recogni...
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04/21/2022
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
Spiking Neural Network (SNN) is considered more biologically realistic a...
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12/31/2021
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
Large-scale datasets are important for the development of deep learning ...
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10/06/2021
ActiveMatch: End-to-end Semi-supervised Active Representation Learning
Semi-supervised learning (SSL) is an efficient framework that can train ...
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08/13/2021
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking
Vehicle tracking is an essential task in the multi-object tracking (MOT)...
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05/11/2021
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment
Radar has long been a common sensor on autonomous vehicles for obstacle ...
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05/06/2021
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
Multi-object tracking (MOT) is an essential task in the computer vision ...
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03/26/2021
Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme
Different from static images, videos contain additional temporal and spa...
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01/14/2021
DAIL: Dataset-Aware and Invariant Learning for Face Recognition
To achieve good performance in face recognition, a large scale training ...
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10/31/2020
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution
3D human pose estimation (HPE) is crucial in many fields, such as human ...
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10/18/2019
Eye in the Sky: Drone-Based Object Tracking and 3D Localization
Drones, or general UAVs, equipped with a single camera have been widely ...
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11/18/2018
Exploit the Connectivity: Multi-Object Tracking with TrackletNet
Multi-object tracking (MOT) is an important and practical task related t...
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08/22/2017