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05/08/2023
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
Class-agnostic counting (CAC) aims to count objects of interest from a q...
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04/08/2023
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
Enable neural networks to capture 3D geometrical-aware features is essen...
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12/16/2022
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing
Most recent studies on neural constituency parsing focus on encoder stru...
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11/30/2022
FuRPE: Learning Full-body Reconstruction from Part Experts
Full-body reconstruction is a fundamental but challenging task. Owing to...
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11/03/2022
Joint Chinese Word Segmentation and Span-based Constituency Parsing
In constituency parsing, span-based decoding is an important direction. ...
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11/01/2022
Order-sensitive Neural Constituency Parsing
We propose a novel algorithm that improves on the previous neural span-b...
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04/20/2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Point clouds scanned by real-world sensors are always incomplete, irregu...
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04/04/2022
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image
Recently, RGBD-based category-level 6D object pose estimation has achiev...
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11/20/2021
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
Recently, category-level 6D object pose estimation has achieved signific...
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08/22/2021
Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads
After DETR was proposed, this novel transformer-based detection paradigm...
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07/22/2021
Adaptive Dilated Convolution For Human Pose Estimation
Most existing human pose estimation (HPE) methods exploit multi-scale in...
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06/08/2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph Neural Network (GNN) has been demonstrated its effectiveness in de...
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05/21/2021
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation
Domain shift has always been one of the primary issues in video object s...
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05/20/2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Despite the significant progress over the last 50 years in simulating fl...
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04/07/2021
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection
Occlusion is very challenging in pedestrian detection. In this paper, we...
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03/30/2021
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
Tensor-based methods have been widely studied to attack inverse problems...
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03/03/2021
General Instance Distillation for Object Detection
In recent years, knowledge distillation has been proved to be an effecti...
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02/25/2021
IBRNet: Learning Multi-View Image-Based Rendering
We present a method that synthesizes novel views of complex scenes by in...
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02/09/2021
Physics-informed neural networks with hard constraints for inverse design
Inverse design arises in a variety of areas in engineering such as acous...
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12/30/2020
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Heatmap regression has become the most prevalent choice for nowadays hum...
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12/13/2020
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
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11/01/2020
Bound Controller for a Quadruped Robot using Pre-Fitting Deep Reinforcement Learning
The bound gait is an important gait in quadruped robot locomotion. It ca...
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10/26/2020
EDNet: Improved DispNet for Efficient Disparity Estimation
Given a pair of rectified images, the goal of stereo matching is to esti...
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09/07/2020
A Light-Weight Object Detection Framework with FPA Module for Optical Remote Sensing Imagery
With the development of remote sensing technology, the acquisition of re...
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03/18/2020
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims to match occluded person i...
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03/09/2020
Learning Delicate Local Representations for Multi-Person Pose Estimation
In this paper, we propose a novel method called Residual Steps Network (...
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11/19/2019
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms
Semantic segmentation is a challenge in scene parsing. It requires both ...
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01/01/2019
Rethinking on Multi-Stage Networks for Human Pose Estimation
Existing pose estimation approaches can be categorized into single-stage...
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08/26/2018
Deep Learning of Vortex Induced Vibrations
Vortex induced vibrations of bluff bodies occur when the vortex shedding...
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11/20/2017
