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09/07/2023
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation
With strong representation capabilities, pretrained vision-language mode...
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08/30/2023
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
Diffusion models have emerged as potential tools to tackle the challenge...
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08/28/2023
SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction
Learning-based surface reconstruction based on unsigned distance functio...
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08/10/2023
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
The commonly adopted detect-then-match approach to registration finds di...
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07/25/2023
PlaneRecTR: Unified Query learning for 3D Plane Recovery from a Single View
3D plane recovery from a single image can usually be divided into severa...
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06/28/2023
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction
Surface reconstruction from raw point clouds has been studied for decade...
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06/27/2023
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Learning-based edge detection usually suffers from predicting thick edge...
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06/23/2023
Decoupled Diffusion Models with Explicit Transition Probability
Recent diffusion probabilistic models (DPMs) have shown remarkable abili...
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05/18/2023
Understanding how Differentially Private Generative Models Spend their Privacy Budget
Generative models trained with Differential Privacy (DP) are increasingl...
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05/01/2023
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
Functions of the ratio of the densities p/q are widely used in machine l...
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04/29/2023
An Implicit Alignment for Video Super-Resolution
Video super-resolution commonly uses a frame-wise alignment to support t...
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03/24/2023
Weakly-supervised Single-view Image Relighting
We present a learning-based approach to relight a single image of Lamber...
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03/18/2023
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations
Most learning-based approaches to category-level 6D pose estimation are ...
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03/17/2023
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
We study the problem of outlier correspondence pruning for non-rigid poi...
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03/15/2023
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
Template matching is a fundamental task in computer vision and has been ...
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03/14/2023
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
We study the problem of reconstructing 3D feature curves of an object fr...
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03/04/2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Deep ensembles (DE) have been successful in improving model performance ...
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01/30/2023
Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics
Light goods vehicles (LGV) used extensively in the last mile of delivery...
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01/19/2023
Multimodal Video Adapter for Parameter Efficient Video Text Retrieval
State-of-the-art video-text retrieval (VTR) methods usually fully fine-t...
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12/05/2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes
We study the problem of learning online packing skills for irregular 3D ...
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12/03/2022
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition
Monocular depth estimation is a challenging problem on which deep neural...
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09/17/2022
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features
The point pair feature (PPF) is widely used for 6D pose estimation. In t...
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07/27/2022
AutoTransition: Learning to Recommend Video Transition Effects
Video transition effects are widely used in video editing to connect sho...
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07/17/2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs
Data cleaning often comprises outlier detection and data repair. Systema...
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07/12/2022
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
We propose a general, flexible, and scalable framework dpart, an open so...
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04/14/2022
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections Recommendations
We report on an ongoing collaboration between epidemiological modellers ...
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04/04/2022
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Learning-based multi-view stereo (MVS) has by far centered around 3D con...
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04/03/2022
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
We approach the problem of high-DOF reaching-and-grasping via learning j...
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03/02/2022
DisARM: Displacement Aware Relation Module for 3D Detection
We introduce Displacement Aware Relation Module (DisARM), a novel neural...
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02/28/2022
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
A standard hardware bottleneck when training deep neural networks is GPU...
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02/20/2022
3DRM:Pair-wise relation module for 3D object detection
Context has proven to be one of the most important factors in object lay...
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02/20/2022
ARM3D: Attention-based relation module for indoor 3D object detection
Relation context has been proved to be useful for many challenging visio...
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02/14/2022
Geometric Transformer for Fast and Robust Point Cloud Registration
We study the problem of extracting accurate correspondences for point cl...
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01/13/2022
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
Learning-based edge detection has hereunto been strongly supervised with...
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01/09/2022
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
Learning dense point-wise semantics from unstructured 3D point clouds wi...
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01/08/2022
Decoupling Makes Weakly Supervised Local Feature Better
Weakly supervised learning can help local feature methods to overcome th...
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08/31/2021
Learning Practically Feasible Policies for Online 3D Bin Packing
We tackle the Online 3D Bin Packing Problem, a challenging yet practical...
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07/26/2021
Efficient Video Object Segmentation with Compressed Video
We propose an efficient inference framework for semi-supervised video ob...
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05/20/2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Traffic simulators act as an essential component in the operating and pl...
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05/12/2021
ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion
Online reconstruction based on RGB-D sequences has thus far been restrai...
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04/11/2021
Couplings for Multinomial Hamiltonian Monte Carlo
Hamiltonian Monte Carlo (HMC) is a popular sampling method in Bayesian i...
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04/05/2021
Potential Convolution: Embedding Point Clouds into Potential Fields
Recently, various convolutions based on continuous or discrete kernels f...
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03/24/2021
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
Learning-based 3D shape segmentation is usually formulated as a semantic...
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02/18/2021
StablePose: Learning 6D Object Poses from Geometrically Stable Patches
We introduce the concept of geometric stability to the problem of 6D obj...
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12/24/2020
Hausdorff Point Convolution with Geometric Priors
Without a shape-aware response, it is hard to characterize the 3D geomet...
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12/23/2020
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization
Autonomous 3D acquisition of outdoor environments poses special challeng...
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10/25/2020
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling
Current autoencoder-based disentangled representation learning methods a...
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09/30/2020
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
We present a target-driven navigation system to improve mapless visual n...
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09/16/2020
WarpCore: A Library for fast Hash Tables on GPUs
Hash tables are ubiquitous. Properties such as an amortized constant tim...
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08/02/2020