Search Results for author:
Found 5 papers, 4 papers with code
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
Thus, MixSup leverages massive coarse cluster-level labels to learn semantics and a few expensive box-level labels to learn accurate poses and shapes.
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection
Drawing inspiration from this, we propose a high-performance offline detector in a track-centric perspective instead of the conventional object-centric perspective.
Super Sparse 3D Object Detection
To enable efficient long-range detection, we first propose a fully sparse object detector termed FSD.
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments
Gaze-following is a kind of research that requires locating where the person in the scene is looking automatically under the topic of gaze estimation.
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
Knowledge graph embedding has been an active research topic for knowledge base completion (KGC), with progressive improvement from the initial TransE, TransH, RotatE et al to the current state-of-the-art QuatE.
Ranked #2 on
Link Prediction
on WN18
