b'Jianbo Shi'

research

∙ 08/02/2023

Memory Encoding Model

We explore a new class of brain encoding model by adding memory-related ...

0 Huzheng Yang, et al. ∙

research

∙ 07/26/2023

Retinotopy Inspired Brain Encoding Model and the All-for-One Training Recipe

Brain encoding models aim to predict brain voxel-wise responses to stimu...

0 Huzheng Yang, et al. ∙

research

∙ 03/14/2023

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

We present a Non-parametric Network for 3D point cloud analysis, Point-N...

0 Renrui Zhang, et al. ∙

research

∙ 03/01/2023

Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis

Performances on standard 3D point cloud benchmarks have plateaued, resul...

0 Renrui Zhang, et al. ∙

research

∙ 12/07/2022

iQuery: Instruments as Queries for Audio-Visual Sound Separation

Current audio-visual separation methods share a standard architecture de...

0 Jiaben Chen, et al. ∙

research

∙ 11/29/2022

HashEncoding: Autoencoding with Multiscale Coordinate Hashing

We present HashEncoding, a novel autoencoding architecture that leverage...

0 Lukas Zhornyak, et al. ∙

research

∙ 08/07/2022

Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications

Egocentric videos offer fine-grained information for high-fidelity model...

7 Lingzhi Zhang, et al. ∙

research

∙ 08/06/2022

Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation

Recently, deep models have established SOTA performance for low-resoluti...

19 Lingzhi Zhang, et al. ∙

research

∙ 08/05/2022

Perceptual Artifacts Localization for Inpainting

Image inpainting is an essential task for multiple practical application...

10 Lingzhi Zhang, et al. ∙

research

∙ 07/04/2022

Beyond mAP: Re-evaluating and Improving Performance in Instance Segmentation with Semantic Sorting and Contrastive Flow

Top-down instance segmentation methods improve mAP by hedging bets on lo...

7 Rohit Jena, et al. ∙

research

∙ 11/19/2021

DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion

Point cloud processing is a challenging task due to its sparsity and irr...

0 Renrui Zhang, et al. ∙

research

∙ 10/14/2021

SoGCN: Second-Order Graph Convolutional Networks

Graph Convolutional Networks (GCN) with multi-hop aggregation is more ex...

0 Peihao Wang, et al. ∙

research

∙ 08/30/2021

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions

Visual recognition is currently one of the most important and active res...

25 Yang Wu, et al. ∙

research

∙ 08/07/2020

Deep Ordinal Regression Forests

Ordinal regression is a type of regression techniques used for predictin...

28 Haiping Zhu, et al. ∙

research

∙ 06/03/2020

Nested Scale Editing for Conditional Image Synthesis

We propose an image synthesis approach that provides stratified navigati...

0 Lingzhi Zhang, et al. ∙

research

∙ 11/18/2019

Potential Field: Interpretable and Unified Representation for Trajectory Prediction

Predicting an agent's future trajectory is a challenging task given the ...

0 Shan Su, et al. ∙

research

∙ 10/25/2019

Deep Image Blending

Image composition is an important operation to create visual content. Am...

14 Lingzhi Zhang, et al. ∙

research

∙ 10/25/2019

Multimodal Image Outpainting With Regularized Normalized Diversification

In this paper, we study the problem of generating a set ofrealistic and ...

29 Lingzhi Zhang, et al. ∙

research

∙ 10/15/2019

SegSort: Segmentation by Discriminative Sorting of Segments

Almost all existing deep learning approaches for semantic segmentation t...

46 Jyh-Jing Hwang, et al. ∙

research

∙ 08/08/2019

Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality

Augmented reality has the potential to improve operating room workflow b...

0 Andong Cao, et al. ∙

research

∙ 07/13/2019

Neural Embedding for Physical Manipulations

In common real-world robotic operations, action and state spaces can be ...

2 Lingzhi Zhang, et al. ∙

research

∙ 07/10/2019

Enhanced generative adversarial network for 3D brain MRI super-resolution

Single image super-resolution (SISR) reconstruction for magnetic resonan...

0 Jiancong Wang, et al. ∙

research

∙ 06/06/2019

Learning Temporal Pose Estimation from Sparsely-Labeled Videos

Modern approaches for multi-person pose estimation in video require larg...

0 Gedas Bertasius, et al. ∙

research

∙ 05/28/2019

EncryptGAN: Image Steganography with Domain Transform

We propose an image steganographic algorithm called EncryptGAN, which di...

0 Ziqiang Zheng, et al. ∙

research

∙ 04/08/2019

FoveaBox: Beyond Anchor-based Object Detector

We present FoveaBox, an accurate, flexible and completely anchor-free fr...

0 Tao Kong, et al. ∙

research

∙ 04/07/2019

Normalized Diversification

Generating diverse yet specific data is the goal of the generative adver...

0 Shaohui Liu, et al. ∙

research

∙ 01/24/2019

Trajectory Normalized Gradients for Distributed Optimization

Recently, researchers proposed various low-precision gradient compressio...

14 Jianqiao Wangni, et al. ∙

research

∙ 01/19/2019

Consistent Optimization for Single-Shot Object Detection

We present consistent optimization for single stage object detection. Pr...

0 Tao Kong, et al. ∙

research

∙ 12/29/2018

Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis

For recovering 3D object poses from 2D images, a prevalent method is to ...

24 Jianqiao Wangni, et al. ∙

research

∙ 12/11/2018

Learning Discriminative Motion Features Through Detection

Despite huge success in the image domain, modern detection models such a...

0 Gedas Bertasius, et al. ∙

research

∙ 12/04/2018

Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination

We propose a light-weight video frame interpolation algorithm. Our key i...

0 Liangzhe Yuan, et al. ∙

research

∙ 05/18/2018

Adversarial Structure Matching Loss for Image Segmentation

The per-pixel cross-entropy loss (CEL) has been widely used in structure...

0 Jyh-Jing Hwang, et al. ∙

research

∙ 03/15/2018

Object Detection in Video with Spatiotemporal Sampling Networks

We propose a Spatiotemporal Sampling Network (STSN) that uses deformable...

0 Gedas Bertasius, et al. ∙

research

∙ 03/04/2018

Egocentric Basketball Motion Planning from a Single First-Person Image

We present a model that uses a single first-person image to generate an ...

0 Gedas Bertasius, et al. ∙

research

∙ 09/05/2017

Using Cross-Model EgoSupervision to Learn Cooperative Basketball Intention

We present a first-person method for cooperative basketball intention pr...

0 Gedas Bertasius, et al. ∙

research

∙ 04/01/2017

Customizing First Person Image Through Desired Actions

This paper studies a problem of inverse visual path planning: creating a...

0 Shan Su, et al. ∙

research

∙ 11/29/2016

Social Behavior Prediction from First Person Videos

This paper presents a method to predict the future movements (location a...

0 Shan Su, et al. ∙

research

∙ 11/16/2016

Am I a Baller? Basketball Performance Assessment from First-Person Videos

This paper presents a method to assess a basketball player's performance...

0 Gedas Bertasius, et al. ∙

research

∙ 11/16/2016

Unsupervised Learning of Important Objects from First-Person Videos

A first-person camera, placed at a person's head, captures, which object...

0 Gedas Bertasius, et al. ∙

research

∙ 05/24/2016

Local Perturb-and-MAP for Structured Prediction

Conditional random fields (CRFs) provide a powerful tool for structured ...

0 Gedas Bertasius, et al. ∙

research

∙ 05/24/2016

Convolutional Random Walk Networks for Semantic Image Segmentation

Most current semantic segmentation methods rely on fully convolutional n...

0 Gedas Bertasius, et al. ∙

research

∙ 03/15/2016

First Person Action-Object Detection with EgoNet

Unlike traditional third-person cameras mounted on robots, a first-perso...

0 Gedas Bertasius, et al. ∙

research

∙ 11/09/2015

Exploiting Egocentric Object Prior for 3D Saliency Detection

On a minute-to-minute basis people undergo numerous fluid interactions w...

0 Gedas Bertasius, et al. ∙

research

∙ 11/09/2015

Semantic Segmentation with Boundary Neural Fields

The state-of-the-art in semantic segmentation is currently represented b...

0 Gedas Bertasius, et al. ∙

research

∙ 09/07/2015

Future Localization from an Egocentric Depth Image

This paper presents a method for future localization: to predict a set o...

0 Hyun Soo Park, et al. ∙

research

∙ 04/23/2015

High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision

Most of the current boundary detection systems rely exclusively on low-l...

0 Gedas Bertasius, et al. ∙

research

∙ 12/02/2014

DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection

Contour detection has been a fundamental component in many image segment...

0 Gedas Bertasius, et al. ∙

research

∙ 03/25/2013

Machine learning of hierarchical clustering to segment 2D and 3D images

We aim to improve segmentation through the use of machine learning tools...

0 Juan Nunez-Iglesias, et al. ∙

Jianbo Shi

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