Hubert Lin (original) (raw)

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.

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.