Learning Submodular Losses with the Lovasz Hinge. - Jiaqian Yu; Matthew B. Blaschko (ICML, 2015)

The Lovász Hinge: A Convex Surrogate for Submodular Losses. - Jiaqian Yu; Matthew B. Blaschko (CoRR, 2015)

A Convex Surrogate Operator for General Non-Modular Loss Functions. - Jiaqian Yu; Matthew B. Blaschko (AISTATS, 2016)

Efficient Learning for Discriminative Segmentation with Supermodular Losses. - Jiaqian Yu; Matthew B. Blaschko (BMVC, 2016)

An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses. - Jiaqian Yu; Matthew B. Blaschko (CoRR, 2017)

Yes, IoU loss is submodular - as a function of the mispredictions. - Maxim Berman; Matthew B. Blaschko; Amal Rannen Triki; Jiaqian Yu (CoRR, 2018)

AFOD: Adaptive Focused Discriminative Segmentation Tracker. - Yiwei Chen; Jingtao Xu; Jiaqian Yu; Qiang Wang 023; ByungIn Yoo; Jae-Joon Han (ECCV Workshops (5), 2020)

The Eighth Visual Object Tracking VOT2020 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Linbo He; Yushan Zhang; et al. (ECCV Workshops (5), 2020)

The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses. - Jiaqian Yu; Matthew B. Blaschko (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Learning Generalized Intersection Over Union for Dense Pixelwise Prediction. - Jiaqian Yu; Jingtao Xu; Yiwei Chen; Weiming Li; Qiang Wang 023; ByungIn Yoo; Jae-Joon Han (ICML, 2021)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (ECCV Workshops (8), 2022)

BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking. - Bin Huang; Jiaqian Yu; Yiwei Chen; Siyang Pan; Qiang Wang 023; Zhi Wang (NeurIPS, 2023)

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. - Zifu Wang; Maxim Berman; Amal Rannen-Triki; Philip H. S. Torr; Devis Tuia; Tinne Tuytelaars; Luc Van Gool; Jiaqian Yu; Matthew B. Blaschko (NeurIPS, 2023)

HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction. - Yi Zhou 020; Hui Zhang 093; Jiaqian Yu; Yifan Yang 007; Sangil Jung; Seung-In Park; ByungIn Yoo (CVPR, 2024)

BLADE: Benchmarking Language Model Agents for Data-Driven Science. - Ken Gu; Ruoxi Shang; Ruien Jiang; Keying Kuang; Richard-John Lin; Donghe Lyu; Yue Mao; Youran Pan; Teng Wu; Jiaqian Yu; Yikun Zhang; Tianmai M. Zhang; et al. (EMNLP (Findings), 2024)

Efficient Learning on Successive Test Time Augmentation. - Siyang Pan; Jiaqian Yu; Dongwook Lee; Yiwei Chen; Chao Zhang; Qiang Wang 023; ByungIn Yoo (ICASSP, 2024)

Gradtrans: Transformer-Based Gradient Guidance for Image Generation. - Yiwei Chen; Jiaqian Yu; Siyang Pan; Sangil Jung; Wu Bi; Seung-In Park; Qiang Wang 023; ByungIn Yoo (ICIP, 2024)

Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching. - Muzhe Guo; Muhao Guo; Juntao Su; Junyu Chen; Jiaqian Yu; Jiaqi Wang; Hongfei Du; Parmanand Sahu; Ashwin Assysh Sharma; Fang Jin (WWW, 2024)

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles. - Zifu Wang; Junyi Zhu 002; Bo Tang; Zhiyu Li; Feiyu Xiong; Jiaqian Yu; Matthew B. Blaschko (CoRR, 2025)

MoSE: Skill-by-Skill Mixture-of-Expert Learning for Autonomous Driving. - Lu Xu; Jiaqian Yu; Xiongfeng Peng; Yiwei Chen; Weiming Li; Jaewook Yoo; Sunghyun Chunag; Dongwook Lee; Daehyun Ji; Chao Zhang (CoRR, 2025)