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Found 13 papers, 11 papers with code
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR
There have been attempts to detect 3D objects by fusion of stereo camera images and LiDAR sensor data or using LiDAR for pre-training and only monocular images for testing, but there have been less attempts to use only monocular image sequences due to low accuracy.
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View
To verify the effectiveness of the proposed model and the learning scheme, we conduct a thorough ablation study and a comparative study.
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
Moreover, we design an evaluation protocol which reflects performance in real-world settings.
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
Our dataset consists of five sub-datasets in two languages (Korean and English) and amounts to 209, 926 video instances from 122 participants.
Revisiting Self-Supervised Monocular Depth Estimation
Self-supervised learning of depth map prediction and motion estimation from monocular video sequences is of vital importance -- since it realizes a broad range of tasks in robotics and autonomous vehicles.
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments
We present a challenging dataset, ChangeSim, aimed at online scene change detection (SCD) and more.
Ranked #2 on
Scene Change Detection
on ChangeSim
A Real-Time Predictive Pedestrian Collision Warning Service for Cooperative Intelligent Transportation Systems Using 3D Pose Estimation
To achieve the goal, pedestrian orientation recognition and prediction of pedestrian's crossing or not-crossing intention play a central role.
s-DRN: Stabilized Developmental Resonance Network
Online incremental clustering of sequentially incoming data without prior knowledge suffers from changing cluster numbers and tends to fall into local extrema according to given data order.
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
Intelligent agents need to understand the surrounding environment to provide meaningful services to or interact intelligently with humans.
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection
In this paper, we propose a convolutional recurrent reconstructive network (CRRN), which decomposes the anomaly patterns generated by the printer defects, from SPI data.
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
We claim the following characteristics for a versatile environment model: accuracy, applicability, usability, and scalability.
A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration
The service provision with these two main components in a Smart Home environment requires: 1) learning and reasoning algorithms and 2) the integration of robot and IoT systems.
I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder
Current soft keyboards, however, increase the typo rate due to lack of tactile feedback and degrade the usability of mobile devices due to their large portion on screens.
