Sergio Casas
26 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(31)
π€
Dynamic Duo
(26)
π¬
Deep Specialist
(14)
π§¬
Topic Evolution
π
Century Club
(26)
ποΈ
Keyword Collector
(83)
π
Trend Setter
β‘
Prolific Year
(6)
Conferences
CVPR (12)
CORL (6)
ECCV (5)
ICCV (2)
ICLR (1)
Top co-authors
Keywords
autonomous driving
(10)
lidar point cloud
(5)
sensor fusion
(5)
trajectory prediction
(5)
motion forecasting
(5)
motion planning
(4)
self-driving vehicle
(3)
object tracking
(3)
perception system
(2)
semantic segmentation
(2)
lidar perception
(2)
traffic simulation
(2)
scene understanding
(2)
multi-task learning
(2)
temporal consistency
(2)
world model
(2)
end-to-end learning
(2)
autonomous vehicle
(2)
trajectory forecasting
(2)
point cloud
(1)
Papers
DIO: Decomposable Implicit 4D Occupancy-Flow World Model
CVPR 2025
MAD: Memory-Augmented Detection of 3D Objects
CVPR 2025
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
CVPR 2024
Learning to Drive via Asymmetric Self-Play
ECCV 2024
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
Towards Unsupervised Object Detection From LiDAR Point Clouds
CVPR 2023
4D-Former: Multimodal 4D Panoptic Segmentation
CORL 2023
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
CORL 2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
CVPR 2023
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation
CVPR 2023
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory
ICCV 2023
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
ICCV 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
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors
CVPR 2021
MP3: A Unified Model To Map, Perceive, Predict and Plan
CVPR 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
CVPR 2021
StrObe: Streaming Object Detection from LiDAR Packets
CORL 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop
CVPR 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
ECCV 2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
ECCV 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
ECCV 2020
End-To-End Interpretable Neural Motion Planner
CVPR 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
CORL 2019
IntentNet: Learning to Predict Intention from Raw Sensor Data
CORL 2018