Search Results for author:
Found 7 papers, 5 papers with code
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
We apply the FlashOCC to diverse occupancy prediction baselines on the challenging Occ3D-nuScenes benchmarks and conduct extensive experiments to validate the effectiveness.
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
For generating the ground truth of 2D/3D keypoints, an automatic model-fitting approach has been proposed by fitting the deformed 3D object model and the object mask in the 2D image.
Robust 2D/3D Vehicle Parsing in CVIS
We combine these novel algorithms and datasets to develop a robust approach for 2D/3D vehicle parsing for CVIS.
Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVIS
We combine these novel algorithms and datasets to develop a robust approach for 2D/3D vehicle parsing for CVIS.
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation
For autonomous driving, the dynamics and states of vehicle parts such as doors, the trunk, and the bonnet can provide meaningful semantic information and interaction states, which are essential to ensuring the safety of the self-driving vehicle.
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving.
3D Part Guided Image Editing for Fine-Grained Object Understanding
Holistically understanding an object with its 3D movable parts is essential for visual models of a robot to interact with the world.
