Swati Jindal

I am a Software Engineer in AR Perception group at Google. My work lies at the intersection of computer vision and eye tracking. I completed my PhD in Computer Science from the University of California, Santa Cruz, where I worked with Prof. Roberto Manduchi and Prof. Xin Eric Wang.

News!

• March 2024: Started as PhD SWE at Google!
• Feb 2024: Successfully defended my thesis!
• Dec 2023: I am co-organizing PETMEI ETRA 2024 and serving as Program Committee for NeurIPS Gaze Meets ML 2023.
• June 2023: Started as Research Intern at Google, Perception Team.
• Dec 2022: Received Best Paper Award at NeurIPS2022 Gaze Meets ML.
• Oct 2022: Paper accepted at NeurIPS 2022 Gaze Meets ML.
• Aug 2022: Paper accepted at WACV2023.
• May 2022: 2 Papers accepted at ETRA2022.
• June 2020: Started as Applied Scientist Intern at Amazon.
• June 2019: Started as Applied Scientist Intern at Amazon.

Experience

• Google
  Research Intern, June-Sept 2023
  Hosts: Yitian Wu, Maryam Jaberi, Ivana Tosic
• Amazon
  Applied Scientist Intern, June-Aug 2020
  Mentors: Jonathan Wu, Yash Singh, Meng Wang
• Amazon
  Applied Scientist Intern, June-Sept 2019
  Mentors: Jonathan Wu, Meng Wang
• TCS Research Labs
  Researcher, 2016-2018
  Mentors: Gautam Shroff, Lovekesh Vig

Education

• Ph.D., Computer Science
  University of California, Santa Cruz (2018-present)

  CGPA: 3.9/4.0

• M.Tech., Electrical Engineering
  IIT Hyderabad, India (2014-2016)

  CGPA: 9.03/10

• B.E., Electronics & Communication Engineering
  Panjab University, India (2010-2014)

  CGPA: 8.67/10

Publications

• Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation
  Swati Jindal, Mohit Yadav, Roberto Manduchi
  CVPR Gaze workshop 2024
  [PDF] [Code]

• CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
  Swati Jindal, Xin Eric Wang
  WACV 2023
  [PDF] [Code]

• Contrastive Representation Learning for Gaze Estimation
  Swati Jindal, Roberto Manduchi
  NeurIPS 2022, Gaze Meets ML Workshop
  Best Paper Award (Spotlight)
  [PDF] [Code]

• Tracker/Camera Calibration for Accurate Automatic Gaze Annotation of Images and Videos
  Swati Jindal, Harsimran Kaur, Roberto Manduchi
  ETRA 2022
  [PDF]

• Rethinking Model-Based Gaze Estimation
  Harsimran Kaur, Swati Jindal, Roberto Manduchi
  ETRA 2022
  Oral presentation
  [PDF]

• Deep Reader: Information extraction from Document images via relation extraction and Natural Language
  Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
  ACCV 2018, IWRR workshop
  [PDF]

• Automatic Classification of Low-Resolution Chromosomal Images
  Swati, Monika Sharma, Lovekes Vig
  ECCV 2018, BIC workshop
  [PDF]

• Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands
  Monika Sharma*, Swati*, Lovekes Vig (*equal contribution)
  IJCNN 2018
  [PDF]

• Siamese Networks For Chromosome Classification
  Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig
  ICCV 2017, BIC workshop
  [PDF]

• Information Extraction from Hand-Marked Industrial Inspection sheets
  Gaurav Gupta, Swati, Monika Sharma, Lovekesh Vig
  ICDAR 2017, CBDAR workshop
  [PDF]

Teaching

Winter 2023: Artificial Intelligence
Fall 2022: Machine Learning
Spring 2021: Computer Vision
Spring 2020: Computer Vision
Fall 2019: Universal Access
Winter 2016: Adaptive Signal Processing
Fall 2015: Probability and Random Processes