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Nadine Chang
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2020 – today
- 2025
[c5]Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez:
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning. CVPR 2025: 22442-22452
[c4]Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez:
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. CVPR 2025: 25081-25091
[c3]Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez:
Enhancing Autonomous Driving Safety with Collision Scenario Integration. IROS 2025: 10116-10123
[c2]Maying Shen
, Nadine Chang
, Sifei Liu
, José M. Álvarez:
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. KDD (1) 2025: 2525-2535
[i14]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:
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. CoRR abs/2501.14818 (2025)
[i13]Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez:
Enhancing Autonomous Driving Safety with Collision Scenario Integration. CoRR abs/2503.03957 (2025)
[i12]Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Joshua Chen, Nadine Chang, Maying Shen, Zuxuan Wu, Shiyi Lan, José M. Álvarez:
Generalized Trajectory Scoring for End-to-end Multimodal Planning. CoRR abs/2506.06664 (2025)
[i11]Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez:
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. CoRR abs/2506.14808 (2025)
[i10]Feiyang Kang, Nadine Chang, Maying Shen, Marc T. Law, Rafid Mahmood, Ruoxi Jia, José M. Álvarez:
AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training. CoRR abs/2507.00049 (2025)
[i9]Shan Wang, Maying Shen, Nadine Chang, Chuong Nguyen, Hongdong Li, José M. Álvarez:
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection. CoRR abs/2509.03113 (2025)
[i8]Jingyu Song, Zhenxin Li, Shiyi Lan, Xinglong Sun, Nadine Chang, Maying Shen, Joshua Chen, Katherine A. Skinner, José M. Álvarez:
DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models. CoRR abs/2510.13108 (2025)
[i7]Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Jingde Chen, Nadine Chang, Maying Shen, Jingyu Song, Zuxuan Wu, Shiyi Lan, José M. Álvarez:
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring. CoRR abs/2510.24108 (2025)- 2024
[i6]Shihao Wang
, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez:
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning. CoRR abs/2405.01533 (2024)
[i5]Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez:
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. CoRR abs/2409.13860 (2024)- 2023
[b1]Nadine Chang:
Bridging the Gap Between Human Vision and Computer Vision. Carnegie Mellon University, USA, 2023
[i4]Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan:
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR abs/2306.14035 (2023)- 2021
[c1]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472
[i3]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021)- 2020
[j1]Tess Lee Hellebrekers
, Nadine Chang, Keene Chin, Michael J. Ford
, Oliver Kroemer
, Carmel Majidi
:
Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks. IEEE Robotics Autom. Lett. 5(3): 3892-3898 (2020)
[i2]Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang:
Alpha Net: Adaptation with Composition in Classifier Space. CoRR abs/2008.07073 (2020)
2010 – 2019
- 2018
[i1]Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff:
BOLD5000: A public fMRI dataset of 5000 images. CoRR abs/1809.01281 (2018)
Coauthor Index

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