Abbas Sadat

8 papers · 2019–2021 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (16)

Venues

CVPR (4) ECCV (2) CoRL (1) ICCV (1)

Top co-authors

Raquel Urtasun (8) Sergio Casas (6) Mengye Ren (2) Wenjie Luo (2) Bin Yang (2) Renjie Liao (2) James Tu (1) Simon Suo (1) Qiang Zhang (1) Kelvin Wong (1)

Research topics

Artificial Intelligence (5) Core AI (5) Computer Vision (4) Machine Learning (4) Domain-Specific (4) Learning Types · Machine Learning (3) Deep Learning (2) Core Methods (2) Learning Types · Deep Learning (2) Analysis (1) Application Areas (1)

Keywords

trajectory prediction (3) autonomous driving (3) sensor fusion (2) object detection (2) self-driving vehicle (2) semantic segmentation (2) motion planning (2) motion forecasting (2) lidar perception (1) perception system (1) hd map (1) cost volume (1) contingency planning (1) multi-agent future (1) online mapping (1) pedestrian tracking (1) localization error (1) safety-critical testing (1) neural motion planner (1) adversarial scenario (1)

Papers

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles CVPR 2021 Deep Multi-Task Learning for Joint Localization, Perception, and Prediction CVPR 2021 LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving ICCV 2021 MP3: A Unified Model To Map, Perceive, Predict and Plan CVPR 2021 Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations ECCV 2020 Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction ECCV 2020 Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs CoRL 2020 End-To-End Interpretable Neural Motion Planner CVPR 2019