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Found 11 papers, 6 papers with code
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
To advance research in learning-based defogging algorithms, various synthetic fog datasets have been developed.
HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models
We also develop an affordance prediction diffusion model (APDM) to predict the contacting area between the human and object during the interactions driven by the textual prompt.
OmniControl: Control Any Joint at Any Time for Human Motion Generation
We present a novel approach named OmniControl for incorporating flexible spatial control signals into a text-conditioned human motion generation model based on the diffusion process.
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection
We present PARQ - a multi-view 3D object detector with transformer and pixel-aligned recurrent queries.
Diagnosing Human-object Interaction Detectors
To address this issue, in this paper, we introduce a diagnosis toolbox to provide detailed quantitative break-down analysis of HOI detection models, inspired by the success of object detection diagnosis toolboxes.
A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching
Previous dominant point cloud registration approaches match these feature representations as the first step, e. g., using the Sinkhorn algorithm.
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos
We present PlanarRecon -- a novel framework for globally coherent detection and reconstruction of 3D planes from a posed monocular video.
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video.
You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking
In this work, we propose a novel system for integrated 3D object detection and tracking, which uses a dynamic object occupancy map and previous object states as spatial-temporal memory to assist object detection in future frames.
The Case for Retraining of ML Models for IoT Device Identification at the Edge
We therefore evaluate our approach using hardware resources and data sources representative of those that would be available at the edge of the network, such as in an IoT deployment.
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images.
3D Object Detection From Stereo Images
Disparity Estimation
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