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04/12/2023
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Recently, Meta AI Research approaches a general, promptable Segment Anyt...
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03/16/2023
Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer
Event camera, as an emerging biologically-inspired vision sensor for cap...
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08/12/2022
Domain-invariant Prototypes for Semantic Segmentation
Deep Learning has greatly advanced the performance of semantic segmentat...
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07/09/2022
Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet
Multi-person pose understanding from RGB videos includes three complex t...
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07/04/2022
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Inspired by the strong ties between vision and language, the two intimat...
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05/15/2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Growing interests in RGB-D salient object detection (RGB-D SOD) have bee...
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01/28/2022
Dual Learning Music Composition and Dance Choreography
Music and dance have always co-existed as pillars of human activities, c...
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12/30/2021
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
Predicting human motion from historical pose sequence is crucial for a m...
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12/03/2021
Music-to-Dance Generation with Optimal Transport
Dance choreography for a piece of music is a challenging task, having to...
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11/26/2021
3D Pose Estimation and Future Motion Prediction from 2D Images
This paper considers to jointly tackle the highly correlated tasks of es...
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11/23/2021
The RETA Benchmark for Retinal Vascular Tree Analysis
Topological and geometrical analysis of retinal blood vessel is a cost-e...
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11/12/2021
Action2video: Generating Videos of Human 3D Actions
We aim to tackle the interesting yet challenging problem of generating v...
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08/27/2021
Automated Generation of Accurate & Fluent Medical X-ray Reports
Our paper focuses on automating the generation of medical reports from c...
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08/15/2021
Human Pose and Shape Estimation from Single Polarization Images
This paper focuses on a new problem of estimating human pose and shape f...
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08/15/2021
EventHPE: Event-based 3D Human Pose and Shape Estimation
Event camera is an emerging imaging sensor for capturing dynamics of mov...
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08/05/2021
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
Given a picture of a chair, could we extract the 3-D shape of the chair,...
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07/15/2021
Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds
This paper presents a novel unsupervised approach to reconstruct human s...
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07/02/2021
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search
A strong visual object tracker nowadays relies on its well-crafted modul...
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09/21/2020
Reconstruct high-resolution multi-focal plane images from a single 2D wide field image
High-resolution 3D medical images are important for analysis and diagnos...
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07/30/2020
Action2Motion: Conditioned Generation of 3D Human Motions
Action recognition is a relatively established task, where givenan input...
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07/17/2020
3D Human Shape Reconstruction from a Polarization Image
This paper tackles the problem of estimating 3D body shape of clothed hu...
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06/05/2020
SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images
In this paper, we propose a novel approach to reconstruct 3D human body ...
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06/04/2020
COMET: Context-Aware IoU-Guided Network for Small Object Tracking
Tracking an unknown target captured from medium- or high-aerial view is ...
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04/30/2020
Polarization Human Shape and Pose Dataset
Polarization images are known to be able to capture polarized reflected ...
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04/22/2020
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent
Generative adversarial networks (GANs), famous for the capability of lea...
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01/15/2020
Outlier Detection Ensemble with Embedded Feature Selection
Feature selection places an important role in improving the performance ...
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12/02/2019
Deep Learning for Visual Tracking: A Comprehensive Survey
Visual target tracking is one of the most sought-after yet challenging r...
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11/12/2019
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Convolutional neural network (CNN), with ability of feature learning and...
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06/07/2017
Synthesizing Filamentary Structured Images with GANs
This paper aims at synthesizing filamentary structured images such as re...
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03/26/2017
Multivariate Regression with Gross Errors on Manifold-valued Data
We consider the topic of multivariate regression on manifold-valued outp...
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01/11/2017
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications
This paper studies the problem of multivariate linear regression where a...
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01/04/2017
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Complex activity recognition is challenging due to the inherent uncertai...
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12/02/2016
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects
This paper focuses on the challenging problem of 3D pose estimation of a...
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09/13/2016
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
Pose estimation, tracking, and action recognition of articulated objects...
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06/07/2016
Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform
Detecting hand actions from ego-centric depth sequences is a practically...
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02/19/2014
Transduction on Directed Graphs via Absorbing Random Walks
In this paper we consider the problem of graph-based transductive classi...
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06/17/2008
