activity
20202026
most citedAlpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

145 citations · 151 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models

Tingshu Mou, Jiabo He, Renying Wang +5

Recent advances in Multi-modal Large Language Models (MLLMs) target 3D spatial intelligence, yet the progress has been largely driven by post-training on curated benchmarks, leavin…

cs.LG2024★ 4 cited

Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks

Yige Li, Jiabo He, Hanxun Huang +3

Backdoor attacks have become a significant threat to the pre-training and deployment of deep neural networks (DNNs). Although numerous methods for detecting and mitigating backdoor…

cs.CV2021★ 1 cited

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae

Jiabo He, Wei Liu, Yu Wang +2

Spinal degeneration plagues many elders, office workers, and even the younger generations. Effective pharmic or surgical interventions can help relieve degenerative spine condition…

cs.CV2021★ 145 cited

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

Jiabo He, Sarah Erfani, Xingjun Ma +3

Bounding box (bbox) regression is a fundamental task in computer vision. So far, the most commonly used loss functions for bbox regression are the Intersection over Union (IoU) los…

cs.DB2020

Segmented Pairwise Distance for Time Series with Large Discontinuities

Jiabo He, Sarah Erfani, Sudanthi Wijewickrema +2

Time series with large discontinuities are common in many scenarios. However, existing distance-based algorithms (e.g., DTW and its derivative algorithms) may perform poorly in mea…

eess.IV2020★ 1 cited

Learning Non-Unique Segmentation with Reward-Penalty Dice Loss

Jiabo He, Sarah Erfani, Sudanthi Wijewickrema +2

Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding. However, most research and applications of semantic se…