397 citations · 695 across the 41 of their papers we have counts for
24 papers · 1 filter
MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection
Ruiyang Xia, Decheng Liu, Jie Li +3
Advanced manipulation techniques have provided criminals with opportunities to make social panic or gain illicit profits through the generation of deceptive media, such as forged f…
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation
Zhusi Zhong, Jie Li, Lulu Bi +6
Medical image segmentation based on deep learning often fails when deployed on images from a different domain. The domain adaptation methods aim to solve domain-shift challenges, b…
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition
Haojun Xu, Yan Gao, Zheng Hui +2
How humans understand and recognize the actions of others is a complex neuroscientific problem that involves a combination of cognitive mechanisms and neural networks. Research has…
Tracking through Containers and Occluders in the Wild
Basile Van Hoorick, Pavel Tokmakov, Simon Stent +2
Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems. In this paper, we introduce , a ne…
Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint
Guozhang Li, De Cheng, Xinpeng Ding +3
Weakly Supervised Temporal Action Localization (WTAL) aims to classify and localize temporal boundaries of actions for the video, given only video-level category labels in the trai…
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
Ziqi Pang, Jie Li, Pavel Tokmakov +3
This work proposes an end-to-end multi-camera 3D multi-object tracking (MOT) framework. It emphasizes spatio-temporal continuity and integrates both past and future reasoning for t…
What's in a Name? Beyond Class Indices for Image Recognition
Kai Han, Xiaohu Huang, Yandong Li +3
Existing machine learning models demonstrate excellent performance in image object recognition after training on a large-scale dataset under full supervision. However, these models…
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking
Tara Sadjadpour, Jie Li, Rares Ambrus +1
Multi-object tracking is a cornerstone capability of any robotic system. The quality of tracking is largely dependent on the quality of the detector used. In many applications, suc…
Depth Is All You Need for Monocular 3D Detection
Dennis Park, Jie Li, Dian Chen +2
A key contributor to recent progress in 3D detection from single images is monocular depth estimation. Existing methods focus on how to leverage depth explicitly, by generating pse…
Seeking Subjectivity in Visual Emotion Distribution Learning
Jingyuan Yang, Jie Li, Leida Li +3
Visual Emotion Analysis (VEA), which aims to predict people's emotions towards different visual stimuli, has become an attractive research topic recently. Rather than a single labe…
SpOT: Spatiotemporal Modeling for 3D Object Tracking
Colton Stearns, Davis Rempe, Jie Li +5
3D multi-object tracking aims to uniquely and consistently identify all mobile entities through time. Despite the rich spatiotemporal information available in this setting, current…
TransFA: Transformer-based Representation for Face Attribute Evaluation
Decheng Liu, Weijie He, Chunlei Peng +3
Face attribute evaluation plays an important role in video surveillance and face analysis. Although methods based on convolution neural networks have made great progress, they inev…
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds
Jie Li, Yu Hu
For current object detectors, the scale of the receptive field of feature extraction operators usually increases layer by layer. Those operators are called scale-oriented operators…
Skeleton-based Approaches based on Machine Vision: A Survey
Jie Li, Binglin Li, Min Gao
Recently, skeleton-based approaches have achieved rapid progress on the basis of great success in skeleton representation. Plenty of researches focus on solving specific problems a…
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Jie Li, Rares Ambrus +1
Multi-object tracking is an important ability for an autonomous vehicle to safely navigate a traffic scene. Current state-of-the-art follows the tracking-by-detection paradigm wher…
Association: Remind Your GAN not to Forget
Yi Gu, Jie Li, Yuting Gao +5
Neural networks are susceptible to catastrophic forgetting. They fail to preserve previously acquired knowledge when adapting to new tasks. Inspired by human associative memory sys…
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
Yuanfei Huang, Jie Li, Xinbo Gao +2
Benefiting from the strong capabilities of deep CNNs for feature representation and nonlinear mapping, deep-learning-based methods have achieved excellent performance in single ima…
A Density-Aware PointRCNN for 3D Object Detection in Point Clouds
Jie Li, Yu Hu
We present an improved version of PointRCNN for 3D object detection, in which a multi-branch backbone network is adopted to handle the non-uniform density of point clouds. An uncer…
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon +4
In autonomous driving, accurately estimating the state of surrounding obstacles is critical for safe and robust path planning. However, this perception task is difficult, particula…
Align Deep Features for Oriented Object Detection
Jiaming Han, Jian Ding, Jie Li +1
The past decade has witnessed significant progress on detecting objects in aerial images that are often distributed with large scale variations and arbitrary orientations. However…
Weakly Supervised Temporal Action Localization with Segment-Level Labels
Xinpeng Ding, Nannan Wang, Xinbo Gao +3
Temporal action localization presents a trade-off between test performance and annotation-time cost. Fully supervised methods achieve good performance with time-consuming boundary…
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System
Zhenzhen Xiang, Jingrui Yu, Jie Li +1
In this paper, we present a multi-camera visual odometry (VO) system for an autonomous vehicle. Our system mainly consists of a virtual LiDAR and a pose tracker. We use a perspecti…
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
Jie Li, Yu Liu, Dong Gong +4
RGB images differentiate from depth images as they carry more details about the color and texture information, which can be utilized as a vital complementary to depth for boosting…
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
Jie Li, Katherine A. Skinner, Ryan M. Eustice +1
This paper reports on WaterGAN, a generative adversarial network (GAN) for generating realistic underwater images from in-air image and depth pairings in an unsupervised pipeline u…