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Found 22 papers, 2 papers with code
Multi-attention Associate Prediction Network for Visual Tracking
They are capable of fully capturing the category-related semantics for classification and the local spatial contexts for regression, respectively.
A Clustering Method with Graph Maximum Decoding Information
Despite its efficacy, the current clustering method utilizing the graph-based model overlooks the uncertainty associated with random walk access between nodes and the embedded structural information in the data.
Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA
Our evaluation shows that questions in the MultipanelVQA benchmark pose significant challenges to the state-of-the-art Large Vision Language Models (LVLMs) tested, even though humans can attain approximately 99\% accuracy on these questions.
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology
Deep learning in digital pathology brings intelligence and automation as substantial enhancements to pathological analysis, the gold standard of clinical diagnosis.
Online Streaming Video Super-Resolution with Convolutional Look-Up Table
To facilitate the research on this problem, a new benchmark dataset named LDV-WebRTC is constructed based on a real-world online streaming system.
A Unified Multi-view Multi-person Tracking Framework
Although there is a significant development in 3D Multi-view Multi-person Tracking (3D MM-Tracking), current 3D MM-Tracking frameworks are designed separately for footprint and pose tracking.
Ranked #1 on
Object Tracking
on MMPTRACK
Multifunctional fiber-based optoacoustic emitter for non-genetic bidirectional neural communication
In vivo application of mFOE for successful simultaneous optoacoustic stimulation and electrical recording of brain activities was confirmed in mouse hippocampus in both acute and chronical applications up to 1 month.
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space
To address this issue, our C-BIoU tracker adds buffers to expand the matching space of detections and tracks, which mitigates the effect of irregular motions in two aspects: one is to directly match identical but non-overlapping detections and tracks in adjacent frames, and the other is to compensate for the motion estimation bias in the matching space.
Ranked #14 on
Multi-Object Tracking
on DanceTrack
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
This is our 2nd-place solution for the ECCV 2022 Multiple People Tracking in Group Dance Challenge.
The Second-place Solution for CVPR 2022 SoccerNet Tracking Challenge
This is our second-place solution for CVPR 2022 SoccerNet Tracking Challenge.
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
To tackle the issues, we propose a hierarchical reinforcement learning approach with high-level decision-making and low-level individual control for efficient policy search.
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
Precisely, SMART consists of two components: 1) a simulation environment that provides a variety of complex interaction scenarios for training and 2) a real-world multi-robot system for realistic performance evaluation.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results
The rapid progress of photorealistic synthesis techniques has reached a critical point where the boundary between real and manipulated images starts to blur.
Structurizing Misinformation Stories via Rationalizing Fact-Checks
Misinformation has recently become a well-documented matter of public concern.
Channel-wise Alignment for Adaptive Object Detection
Existing methods on this task usually draw attention on the high-level alignment based on the whole image or object of interest, which naturally, cannot fully utilize the fine-grained channel information.
Effects of Digital Map on the RT-based Channel Model for UAV mmWave Communications
Based on the geometry and ray tracing (RT) theory, a millimeter wave (mmWave) channel model and parameter computation method for unmanned aerial vehicle (UAV) assisted air-to-ground (A2G) communications are proposed in this paper.
A novel sentence embedding based topic detection method for micro-blog
We use an unsupervised neural sentence embedding model to map the blogs to an embedding space.
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications
For these applications, graph embedding is crucial as it provides vector representations of the graph.
Multi-turn Inference Matching Network for Natural Language Inference
The inference of each turn is performed on the current matching feature and the memory.
DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension
We divide a complete story into three narrative segments: an \textit{exposition}, a \textit{climax}, and an \textit{ending}.
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
This approach is based on a deep learning method that can be implemented on Android applications with high accuracy.
