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05/25/2023
Interactive Segment Anything NeRF with Feature Imitation
This paper investigates the potential of enhancing Neural Radiance Field...
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05/18/2023
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Large language models (LLMs) have notably accelerated progress towards a...
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03/20/2023
Real-time Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction
Semantic Scene Completion (SSC) aims to simultaneously predict the volum...
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03/03/2023
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
Neural Radiance Fields (NeRF) have constituted a remarkable breakthrough...
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02/08/2023
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
Inductive one-bit matrix completion is motivated by modern applications ...
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11/22/2022
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
While dynamic Neural Radiance Fields (NeRF) have shown success in high-f...
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11/17/2022
D^3ETR: Decoder Distillation for Detection Transformer
While various knowledge distillation (KD) methods in CNN-based detectors...
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08/21/2022
JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario
The ability for a moving agent to localize itself in environment is the ...
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07/26/2022
Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment
Detection Transformer (DETR) relies on One-to-One label assignment, i.e....
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07/18/2022
Conditional DETR V2: Efficient Detection Transformer with Box Queries
In this paper, we are interested in Detection Transformer (DETR), an end...
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05/30/2022
Compressible-composable NeRF via Rank-residual Decomposition
Neural Radiance Field (NeRF) has emerged as a compelling method to repre...
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03/31/2022
Point Scene Understanding via Disentangled Instance Mesh Reconstruction
Semantic scene reconstruction from point cloud is an essential and chall...
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03/28/2022
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation
This paper studies the 3D instance segmentation problem, which has a var...
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02/07/2022
Context Autoencoder for Self-Supervised Representation Learning
We present a novel masked image modeling (MIM) approach, context autoenc...
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12/24/2021
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective
We revisit Semantic Scene Completion (SSC), a useful task to predict the...
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07/19/2021
Joint Implicit Image Function for Guided Depth Super-Resolution
Guided depth super-resolution is a practical task where a low-resolution...
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07/18/2020
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing
Depth data provide geometric information that can bring progress in RGB-...
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07/17/2020
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
Depth information has proven to be a useful cue in the semantic segmenta...
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03/31/2020
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
The goal of the Semantic Scene Completion (SSC) task is to simultaneousl...
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09/13/2017
Meta Networks for Neural Style Transfer
In this paper we propose a new method to get the specified network param...
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05/28/2016
Weighted Residuals for Very Deep Networks
Deep residual networks have recently shown appealing performance on many...
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12/11/2013
Fast Neighborhood Graph Search using Cartesian Concatenation
In this paper, we propose a new data structure for approximate nearest n...
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12/11/2013
Fast Approximate K-Means via Cluster Closures
K-means, a simple and effective clustering algorithm, is one of the most...
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07/30/2013