Nadine Chang

According to our database, Nadine Chang authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training.

Feiyang Kang, Nadine Chang, Maying Shen, Marc T. Law, Rafid Mahmood, Ruoxi Jia, José M. Álvarez

CoRR, July, 2025

Generalized Trajectory Scoring for End-to-end Multimodal Planning.

Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Joshua Chen, Nadine Chang, Maying Shen, Zuxuan Wu, Shiyi Lan, José M. Álvarez

CoRR, June, 2025

Enhancing Autonomous Driving Safety with Collision Scenario Integration.

Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez

CoRR, March, 2025

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models.

Zhiqi Li, Guo Chen, Shilong Liu, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, Nadine Chang, Karan Sapra, Amala Sanjay Deshmukh, Tuomas Rintamaki, Matthieu Le, Ilia Karmanov, Lukas Voegtle, Philipp Fischer, De-An Huang, Timo Roman, Tong Lu, José M. Álvarez, Bryan Catanzaro, Jan Kautz, Andrew Tao, Guilin Liu, Zhiding Yu

CoRR, January, 2025

SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation.

Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.

Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning.

Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez

CoRR, 2024

2023

Bridging the Gap Between Human Vision and Computer Vision

Nadine Chang

PhD thesis, 2023

Thinking Like an Annotator: Generation of Dataset Labeling Instructions.

Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan

CoRR, 2023

2021

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.

Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks.

Tess Lee Hellebrekers, Nadine Chang, Keene Chin, Michael J. Ford, Oliver Kroemer, Carmel Majidi

IEEE Robotics Autom. Lett., 2020

Alpha Net: Adaptation with Composition in Classifier Space.

Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang

CoRR, 2020

2018

BOLD5000: A public fMRI dataset of 5000 images.

Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff

CoRR, 2018