Sergio Casas
26 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(15)
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(26)
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Topic Evolution
π
Century Club Β· Bronze
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Keyword Collector
(91)
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Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(18)
Core AI
(18)
Computer Vision
(16)
Domain-Specific
(15)
Analysis
(12)
Machine Learning
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(5)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Models
(1)
Keywords
autonomous driving
(11)
lidar point cloud
(5)
sensor fusion
(5)
motion forecasting
(5)
trajectory prediction
(5)
motion planning
(4)
object tracking
(3)
world model
(3)
self-driving vehicle
(3)
scene understanding
(2)
semantic segmentation
(2)
lidar perception
(2)
point cloud
(2)
perception system
(2)
traffic simulation
(2)
multi-task learning
(2)
temporal consistency
(2)
end-to-end learning
(2)
trajectory forecasting
(2)
autonomous vehicle
(2)
Papers
DIO: Decomposable Implicit 4D Occupancy-Flow World Model
CVPR 2025
MAD: Memory-Augmented Detection of 3D Objects
CVPR 2025
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
ICLR 2024
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
ECCV 2024
Learning to Drive via Asymmetric Self-Play
ECCV 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
CVPR 2024
4D-Former: Multimodal 4D Panoptic Segmentation
CoRL 2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
CVPR 2023
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
CoRL 2023
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory
ICCV 2023
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation
CVPR 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds
CVPR 2023
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
CVPR 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
CVPR 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
CoRL 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
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors
CVPR 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
ECCV 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
ECCV 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop
CVPR 2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
ECCV 2020
StrObe: Streaming Object Detection from LiDAR Packets
CoRL 2020
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
CoRL 2019
End-To-End Interpretable Neural Motion Planner
CVPR 2019
IntentNet: Learning to Predict Intention from Raw Sensor Data
CoRL 2018