Hubert Lin

I am a PhD student in the Computer Science department at Cornell, advised by Kavita Bala. My interests are in Computer Vision. Previously, I completed a BSc at the University of Toronto, where I double majored in Physics and Computer Science.

I will be joining Waymo as a Research Scientist in 2022. Find me on LinkedIn here or download my CV (Oct 2021) here.

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Publications

Towards Robust Perception Systems in Real World Environments
[Recording] [Slides]
Lin, H.
PhD Dissertation, 2022.


 
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.
[Dataset Browser] [Project]
Van Zuijlen, M.; Lin, H.; Bala, K.; Pont, S.C.; Wijntes, M.W.A.
PLOS One 2021.


 
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning.
[Project]
Al-Zayer, H.; Lin, H.; Bala, K.
IROS 2021. (Finalist: Best Entertainment and Amusement Paper Award)
Media: Clearpath Robotics Blog, Cornell Chronicle, Engadget, PetaPixel


 
What Can Style Transfer and Paintings Do For Model Robustness?.
[Project]
Lin, H.; Van Zuijlen, M.; Wijntes, M.W.A.; Pont, S.C.; Bala, K.
CVPR 2021.


 
Insights from a Large-Scale Database of Material Depictions in Paintings.
Lin, H.; Van Zuijlen, M.; Wijntes, M.W.A.; Pont, S.C.; Bala, K.
FAPER ICPR 2020.


 
Silva: Interactively Assessing Machine Learning Fairness Using Causality.
Yan, J.N.; Gu, Z.; Lin, H.; Rzeszotarski, J.
CHI 2020.


 
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds.
[Project]
Lin, H.*; Han, Y.*; Banfi, J.*; Bala, K.; Campbell, M.
ICRA 2020.


 
Block Annotation: Better Image Annotation with Sub-Image Decomposition.
[Supplementary] [Talk Slides] [Project]
Lin, H.; Upchurch, P.; Bala, K.
ICCV 2019.


 
Learning Material-Aware Local Descriptors for 3D Shapes.
[Supplementary] [Talk Slides] [Download Dataset]
Lin, H.; Averkiou, M.; Kalogerakis, E.; Kovacs, B.; Ranade, S.; Kim, V. G.; Chaudhuri, S.; Bala, K.
3DV 2018.


 
Identifying and avoiding confusion in dialogues of people with Alzheimer's Disease.
Chinaei, H.; Chan Currie, L.; Danks, A.; Lin, H.; Mehta, T.; Rudzicz, F.
Computational Linguistics 2017.

Posters / Talks

• Learning From Paintings Improves Representations For Fabric Recognition.
   Lin, H.; Van Zuijlen, M.; Wijntes, M.W.A.; Pont, S.C.; Bala, K. V-VSS 2021.


• Learning More Robust Neural Network Representations from Paintings of Objects and Materials.
   Lin, H.; Van Zuijlen, M.; Wijntes, M.W.A.; Pont, S.C.; Bala, K. ICCP Posters 2021.


• Learning More Robust Neural Network Representations from Paintings of Objects and Materials.
   Lin, H.; Van Zuijlen, M.; Wijntes, M.W.A.; Pont, S.C.; Bala, K. The Skin of Things 2021.


• A Database of Painterly Material Depictions.
   Van Zuijlen, M.; Lin, H.; Bala, K.; Pont, S.C.; Wijntes, M.W.A. V-VSS 2020.