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Claim this profileWorks187 from public data
- 1,045
- UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking799
This work performs a comprehensive quantitative study on the effects of object detection accuracy to the overall MOT performance, using the new large-scale University at Albany DETection and tRACking (UA-DETRAC) benchmark dataset.
- Multi-Scale Structure-Aware Network for Human Pose Estimation300
A robust multi-scale structure-aware neural network for human pose estimation that effectively improves state-of-the-art pose estimation methods that suffer from difficulties in scale varieties, occlusions, and complex multi-person scenarios.
- 169
- Variations of Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Evaluation of Breast Cancer Therapy Response: A Multicenter Data Analysis Challenge150
The results suggest that the interalgorithm parameter variations are largely systematic, which are not likely to significantly affect the utility of DCE-MRI for assessment of therapy response.
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- Spatio-Temporal Phrases for Activity Recognition135
This paper proposes an approach that efficiently identifies both local and long-range motion interactions and can capture the combination of the hand movement of one person and the foot response of another person, the local features of which are both spatially and temporally far away from each other.
- Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection125
A new parallel FP structure with bi-directional (top-down and bottom-up) fusion and associated improvements to retain high-quality features for accurate localization and achieves state-of-the-art performance on the UAVDT17 and MS COCO datasets.
- 119
- SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking116
This paper proposes an SLM that calculates the appearance similarity between two objects, overcoming the limitations of feature descriptors in Separate Detection and Embedding models, and develops a Similarity Matching Cascade (SMC) module with a novel GATE function for robust object matching across consecutive video frames, further enhancing MOT performance.
- Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces105
It is shown that GAN-generated faces can be exposed via irregular pupil shapes, caused by the lack of physiological constraints in the GAN models, and an automatic method to segment the pupils from the eyes and analyze their shapes is designed to distinguish GANs from real ones.
- The 4th AI City Challenge102
The 4th annual edition of the AI City Challenge has attracted 315 participating teams, who leverage city-scale real traffic data and high-quality synthetic data to compete in four challenge tracks, and results show promise that AI technology can enable smarter and safer transportation systems.
- The 5th AI City Challenge101
The fifth AI City Challenge attracted 305 participating teams across 38 countries, who leveraged city-scale real traffic data and high-quality synthetic data to compete in five challenge tracks, showing the promise of AI in Smarter Transportation.
- GAN-Generated Faces Detection: A Survey and New Perspectives95
This work aims to provide a comprehensive review of recent progress in GAN-face detection, focusing on methods that can detect face images that are generated or synthesized from GAN models.
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- The 2019 AI City Challenge.85
Participation in this challenge has grown five-fold this year as tasks have become more relevant to traffic optimization and challenging to the computer vision community.
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- FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection70
An open FishEye8K benchmark dataset for road object detection tasks, which comprises 157K bounding boxes across five classes (Pedestrian, Bike, Car, Bus, and Truck), and benchmark results of State-of-The-Art (SoTA) models, including variations of YOLOv5, YOLOR, Y OLO7, and YolOv8 are presented.
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- Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph67
A new multi-camera multi-target tracking method based on a space-time-view hyper-graph that encodes higher-order constraints on 3D geometry, appearance, motion continuity, and trajectory smoothness among 2D tracklets within and across different camera views is proposed.
- The 8th AI City Challenge63
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems, presenting significant research opportunities, with participants setting new benchmarks.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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