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08/02/2023
Memory Encoding Model
We explore a new class of brain encoding model by adding memory-related ...
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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...
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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...
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03/01/2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Performances on standard 3D point cloud benchmarks have plateaued, resul...
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12/07/2022
iQuery: Instruments as Queries for Audio-Visual Sound Separation
Current audio-visual separation methods share a standard architecture de...
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11/29/2022
HashEncoding: Autoencoding with Multiscale Coordinate Hashing
We present HashEncoding, a novel autoencoding architecture that leverage...
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08/07/2022
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Egocentric videos offer fine-grained information for high-fidelity model...
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08/06/2022
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation
Recently, deep models have established SOTA performance for low-resoluti...
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08/05/2022
Perceptual Artifacts Localization for Inpainting
Image inpainting is an essential task for multiple practical application...
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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...
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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...
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10/14/2021
SoGCN: Second-Order Graph Convolutional Networks
Graph Convolutional Networks (GCN) with multi-hop aggregation is more ex...
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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...
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08/07/2020
Deep Ordinal Regression Forests
Ordinal regression is a type of regression techniques used for predictin...
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06/03/2020
Nested Scale Editing for Conditional Image Synthesis
We propose an image synthesis approach that provides stratified navigati...
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11/18/2019
Potential Field: Interpretable and Unified Representation for Trajectory Prediction
Predicting an agent's future trajectory is a challenging task given the ...
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10/25/2019
Deep Image Blending
Image composition is an important operation to create visual content. Am...
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10/25/2019
Multimodal Image Outpainting With Regularized Normalized Diversification
In this paper, we study the problem of generating a set ofrealistic and ...
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10/15/2019
SegSort: Segmentation by Discriminative Sorting of Segments
Almost all existing deep learning approaches for semantic segmentation t...
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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...
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07/13/2019
Neural Embedding for Physical Manipulations
In common real-world robotic operations, action and state spaces can be ...
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07/10/2019
Enhanced generative adversarial network for 3D brain MRI super-resolution
Single image super-resolution (SISR) reconstruction for magnetic resonan...
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06/06/2019
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Modern approaches for multi-person pose estimation in video require larg...
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05/28/2019
EncryptGAN: Image Steganography with Domain Transform
We propose an image steganographic algorithm called EncryptGAN, which di...
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04/08/2019
FoveaBox: Beyond Anchor-based Object Detector
We present FoveaBox, an accurate, flexible and completely anchor-free fr...
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04/07/2019
Normalized Diversification
Generating diverse yet specific data is the goal of the generative adver...
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01/24/2019
Trajectory Normalized Gradients for Distributed Optimization
Recently, researchers proposed various low-precision gradient compressio...
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01/19/2019
Consistent Optimization for Single-Shot Object Detection
We present consistent optimization for single stage object detection. Pr...
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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 ...
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12/11/2018
Learning Discriminative Motion Features Through Detection
Despite huge success in the image domain, modern detection models such a...
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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...
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05/18/2018
Adversarial Structure Matching Loss for Image Segmentation
The per-pixel cross-entropy loss (CEL) has been widely used in structure...
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03/15/2018
Object Detection in Video with Spatiotemporal Sampling Networks
We propose a Spatiotemporal Sampling Network (STSN) that uses deformable...
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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 ...
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09/05/2017
Using Cross-Model EgoSupervision to Learn Cooperative Basketball Intention
We present a first-person method for cooperative basketball intention pr...
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04/01/2017
Customizing First Person Image Through Desired Actions
This paper studies a problem of inverse visual path planning: creating a...
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11/29/2016
Social Behavior Prediction from First Person Videos
This paper presents a method to predict the future movements (location a...
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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...
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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...
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05/24/2016
Local Perturb-and-MAP for Structured Prediction
Conditional random fields (CRFs) provide a powerful tool for structured ...
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05/24/2016
Convolutional Random Walk Networks for Semantic Image Segmentation
Most current semantic segmentation methods rely on fully convolutional n...
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03/15/2016
First Person Action-Object Detection with EgoNet
Unlike traditional third-person cameras mounted on robots, a first-perso...
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11/09/2015
Exploiting Egocentric Object Prior for 3D Saliency Detection
On a minute-to-minute basis people undergo numerous fluid interactions w...
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11/09/2015
Semantic Segmentation with Boundary Neural Fields
The state-of-the-art in semantic segmentation is currently represented b...
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09/07/2015
Future Localization from an Egocentric Depth Image
This paper presents a method for future localization: to predict a set o...
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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...
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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...
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03/25/2013