research
∙
07/12/2023
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning
Large language models (LLMs) have demonstrated impressive results in dev...
share
research
∙
07/04/2023
Semantic Segmentation on 3D Point Clouds with High Density Variations
LiDAR scanning for surveying applications acquire measurements over wide...
research
∙
11/23/2022
ActiveRMAP: Radiance Field for Active Mapping And Planning
A high-quality 3D reconstruction of a scene from a collection of 2D imag...
research
∙
11/23/2022
Predicting Topological Maps for Visual Navigation in Unexplored Environments
We propose a robotic learning system for autonomous exploration and navi...
research
∙
11/14/2022
What Images are More Memorable to Machines?
This paper studies the problem of measuring and predicting how memorable...
research
∙
11/07/2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Self-supervised monocular depth estimation has shown impressive results ...
research
∙
09/27/2022
Globally Optimal Event-Based Divergence Estimation for Ventral Landing
Event sensing is a major component in bio-inspired flight guidance and c...
research
∙
05/31/2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
We present a simple method, CropMix, for the purpose of producing a rich...
research
∙
03/02/2022
Asynchronous Optimisation for Event-based Visual Odometry
Event cameras open up new possibilities for robotic perception due to th...
research
∙
01/28/2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
We present You Only Cut Once (YOCO) for performing data augmentations. Y...
research
∙
10/22/2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
The most competitive noisy label learning methods rely on an unsupervise...
research
∙
10/21/2021
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data
Accurate 7DoF prediction of vehicles at an intersection is an important ...
research
∙
09/27/2021
Robotic Vision for Space Mining
Future Moon bases will likely be constructed using resources mined from ...
research
∙
08/23/2021
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Localizing objects and estimating their extent in 3D is an important ste...
research
∙
06/16/2021
JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection
The availability of large-scale video action understanding datasets has ...
research
∙
05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
research
∙
03/21/2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
In this paper, we address the problem of training deep neural networks i...
research
∙
03/15/2021
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
Under mild conditions on the noise level of the measurements, rotation a...
research
∙
03/06/2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
Deep neural network models are robust to a limited amount of label noise...
research
∙
03/06/2021
Noisy Label Learning for Large-scale Medical Image Classification
The classification accuracy of deep learning models depends not only on ...
research
∙
03/05/2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
The training of deep learning models generally requires a large amount o...
research
∙
03/01/2021
DF-VO: What Should Be Learnt for Visual Odometry?
Multi-view geometry-based methods dominate the last few decades in monoc...
research
∙
01/02/2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
For robots to navigate and interact more richly with the world around th...
research
∙
12/09/2020
MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos
Semantic aware reconstruction is more advantageous than geometric-only r...
research
∙
11/11/2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
The efficacy of deep learning depends on large-scale data sets that have...
research
∙
11/01/2020
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition
Visual place recognition needs to be robust against appearance variabili...
research
∙
10/15/2020
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
Standardized benchmarks have been crucial in pushing the performance of ...
research
∙
08/08/2020
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
Performance evaluation is indispensable to the advancement of machine vi...
research
∙
07/06/2020
Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos
The state-of-the art solutions for human activity understanding from a v...
research
∙
06/04/2020
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
Single-view depth estimation using CNNs trained from unlabelled videos h...
research
∙
05/11/2020
FroDO: From Detections to 3D Objects
Object-oriented maps are important for scene understanding since they jo...
research
∙
03/19/2020
MOT20: A benchmark for multi object tracking in crowded scenes
Standardized benchmarks are crucial for the majority of computer vision ...
research
∙
03/17/2020
Real-time Image Smoothing via Iterative Least Squares
Edge-preserving image smoothing is a fundamental procedure for many comp...
research
∙
02/17/2020
3D Gated Recurrent Fusion for Semantic Scene Completion
This paper tackles the problem of data fusion in the semantic scene comp...
research
∙
02/11/2020
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
Hyperspectral image(HSI) classification has been improved with convoluti...
research
∙
02/07/2020
Switchable Precision Neural Networks
Instantaneous and on demand accuracy-efficiency trade-off has been recen...
research
∙
02/03/2020
Automatic Pruning for Quantized Neural Networks
Neural network quantization and pruning are two techniques commonly used...
research
∙
01/30/2020
Learn to Predict Sets Using Feed-Forward Neural Networks
This paper addresses the task of set prediction using deep feed-forward ...
research
∙
01/29/2020
Depth Based Semantic Scene Completion with Position Importance Aware Loss
Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
research
∙
12/10/2019
Learning to generate new indoor scenes
Deep generative models have been used in recent years to learn coherent ...
research
∙
12/10/2019
NeuRoRA: Neural Robust Rotation Averaging
Multiple rotation averaging is an essential task for structure from moti...
research
∙
11/07/2019
Improved Visual Localization via Graph Smoothing
Vision based localization is the problem of inferring the pose of the ca...
research
∙
09/28/2019
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation
This paper tackles the problem of video object segmentation. We are spec...
research
∙
09/22/2019
Structured Binary Neural Networks for Image Recognition
We propose methods to train convolutional neural networks (CNNs) with bo...
research
∙
09/21/2019
Visual Odometry Revisited: What Should Be Learnt?
In this work we present a monocular visual odometry (VO) algorithm which...
research
∙
08/28/2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Recent work has shown that CNN-based depth and ego-motion estimators can...
research
∙
08/26/2019
An Evaluation of Feature Matchers forFundamental Matrix Estimation
Matching two images while estimating their relative geometry is a key st...
research
∙
08/19/2019
In defense of OSVOS
As a milestone for video object segmentation, one-shot video object segm...
research
∙
08/10/2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
This paper tackles the problem of training a deep convolutional neural n...
research
∙
08/01/2019
