Ali Athar

Ali Athar

Computer Vision Researcher

RWTH Aachen, Germany

Biography

Hi, I’m a fourth year PhD student in computer science at RWTH Aachen University under the supervision of Prof. Dr. Bastian Leibe. My research domain is in computer vision, and specifically, segmenting and tracking objects in video sequences.

Interests
  • Computer Vision
  • Video Understanding
  • Object Tracking and Segmentation in Video
Education
  • PhD in Computer Science, 2019 - Present

    RWTH Aachen University (Aachen, Germany)

  • 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)

Publications

(2023). 4D-Former: Multimodal 4D Panoptic Segmentation. In CoRL.

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(2023). TarViS: A Unified Approach for Target-based Video Segmentation. In CVPR (Highlight).

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(2023). BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. In WACV.

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(2022). HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. In CVPR (Oral).

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(2022). Differentiable Soft-Masked Attention. In CVPR-W.

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(2022). D^2-Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos. In WACV.

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(2021). A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings. In ICCV-W.

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(2020). Making a Case for 3D Convolutions for Object Segmentation in Videos. In BMVC.

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(2020). STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. In ECCV.

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(2019). Whole-body motion and footstep planning for humanoid robots with multi-heuristic search. Robotics and Autonomous Systems.

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(2016). Whole-body motion planning for humanoid robots with heuristic search. In IROS.

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Experience

 
 
 
 
 
Research Intern
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 – Present
Machine Learning (Winter 2019 and Winter 2020), Computer Vision (Winter 2021)
 
 
 
 
 
Working Student 3D Robotics and Perception
Feb 2017 – Mar 2019 Munich, Germany
Worked as a part-time software engineer and for some time as a research intern. Areas of work included 3D mapping, projection geometry, image and point-cloud manipulation. Languages/APIs: C++, Python, ROS, OpenCV

Awards and Scholarships

Outstanding Reviewer Award
Wrote Exemplary reviews for manuscripts submitted to CVPR 2022.
High Distinction
Completed master’s degree with CGPA of 1.2/5.0 on German scale (~3.8/4.0 on US scale)
Chancellor’s Silver Medal
Completed bachelor’s degree with second-highest CGPA in graduating class (3.93/4.0)
Excellence Scholarship
Partial tuition fee waiver on acccount of >3.6 CGPA throughout all semesters of bachelor’s degree

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