Ali Athar
Scholar

Ali Athar

Google Scholar ID: mexenQMAAAAJ
Amazon
Computer VisionVideo SegmentationObject Tracking
Citations & Impact
All-time
Citations
635
 
H-index
8
 
i10-index
8
 
Publications
18
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • - ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation (CVPR 2025)
  • - Multimodal Four-dimensional Panoptic Segmentation (US Patent App. 18/736,525 2024)
  • - 4D-Former: Multimodal 4D Panoptic Segmentation (CoRL 2023)
  • - TarViS: A Unified Approach for Target-based Video Segmentation (CVPR Highlight 2023)
  • - BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video (WACV 2023)
  • - HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images (CVPR Oral 2022)
  • - Differentiable Soft-Masked Attention (CVPR-W 2022)
  • - D^2-Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos (WACV 2022)
  • - A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings (ICCV-W 2021)
  • - Making a Case for 3D Convolutions for Object Segmentation in Videos (BMVC 2020)
  • - STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos (ECCV 2020)
  • - Whole-body motion and footstep planning for humanoid robots with multi-heuristic search (Robotics and Autonomous Systems 2019)
  • - Whole-body motion planning for humanoid robots with heuristic search (IROS 2016)
Research Experience
  • - Applied Scientist, Amazon FAR, Aug 2025 – Present, Berlin, Germany
  • - Research Scientist, ByteDance Inc., Feb 2024 – Jul 2025, San Jose, USA
  • - Research Intern, Waabi Innovation Inc., Jan 2023 – Jun 2023, Toronto, Canada
  • - Conference Reviewer, Jun 2019 – Present, ICRA 2019, BMVC 2020, CVPR 2021, ICCV 2021, BMVC 2021, CVPR 2022, ECCV 2022, CVIU
  • - Teaching Assistant, RWTH Aachen, Oct 2019 – Feb 2024, Machine Learning (Winter 2019 and Winter 2020), Computer Vision (Winter 2021)
  • - Working Student, 3D Robotics and Perception, NavVis GmbH., Feb 2017 –
Education
  • - PhD in Computer Science, 2019-2024, RWTH Aachen University (Aachen, Germany), Supervisor: Prof. Bastian Leibe
  • - MSc. in Communications Engineering, 2016-2019, Technical University of Munich (Germany)
  • - BE in Electrical Engineering, 2012-2016, National University of Sciences and Technology (Islamabad, Pakistan)
Background
  • Currently working as an Applied Scientist at Amazon Frontier AI and Robotics (FAR) based out of Berlin, Germany. Previously, worked as a Research Scientist at ByteDance Seed. Completed PhD in Computer Science from RWTH Aachen University (Germany) under the supervision of Prof. Bastian Leibe. Research interests include video understanding, spatial intelligence, and object tracking and segmentation.