9 citations · 23 across the 7 of their papers we have counts for
8 papers
MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance
Kaikai Zhao, Zhaoxiang Liu, Peng Wang +7
General-domain large multimodal models (LMMs) have achieved significant advances in various image-text tasks. However, their performance in the Intelligent Traffic Surveillance (IT…
Data-Driven Deepfake Image Detection Method -- The 2024 Global Deepfake Image Detection Challenge
Xiaoya Zhu, Yibing Nan, Shiguo Lian
With the rapid development of technology in the field of AI, deepfake technology has emerged as a double-edged sword. It has not only created a large amount of AI-generated content…
Application-Driven AI Paradigm for Person Counting in Various Scenarios
Minjie Hua, Yibing Nan, Shiguo Lian
Person counting is considered as a fundamental task in video surveillance. However, the scenario diversity in practical applications makes it difficult to exploit a single person c…
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance
Yajun Xu, Chuwen Huang, Yibing Nan +1
Automatic traffic accidents detection has appealed to the machine vision community due to its implications on the development of autonomous intelligent transportation systems (ITS)…
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation
Minjie Hua, Yibing Nan, Shiguo Lian
This paper presents a novel obstacle avoidance system for road robots equipped with RGB-D sensor that captures scenes of its way forward. The purpose of the system is to have road…
Falls Prediction Based on Body Keypoints and Seq2Seq Architecture
Minjie Hua, Yibing Nan, Shiguo Lian
This paper presents a novel approach for predicting the falls of people in advance from monocular video. First, all persons in the observed frames are detected and tracked with the…
Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
Minjie Hua, Fuyuan Shi, Yibing Nan +3
This paper presents a novel system that enables intelligent robots to exhibit realistic body gestures while communicating with humans. The proposed system consists of a listening m…
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
Kai Wang, Fuyuan Shi, Wenqi Wang +2
This paper presents an improved scheme for the generation and adaption of synthetic images for the training of deep Convolutional Neural Networks(CNNs) to perform the object detect…