b'Yin Li'

research

∙ 06/28/2022

Reconstructing the Universe with Variational self-Boosted Sampling

Forward modeling approaches in cosmology have made it possible to recons...

Chirag Modi, et al. ∙

research

∙ 06/13/2022

EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning

Recent state-of-the-art methods in semi-supervised learning (SSL) combin...

Zhuoran Yu, et al. ∙

research

∙ 06/09/2022

Field Level Neural Network Emulator for Cosmological N-body Simulations

We build a field level emulator for cosmic structure formation that is a...

Drew Jamieson, et al. ∙

research

∙ 06/09/2022

Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

We train a neural network model to predict the full phase space evolutio...

Drew Jamieson, et al. ∙

research

∙ 05/03/2022

Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging

Computational approach to imaging around the corner, or non-line-of-sigh...

Fangzhou Mu, et al. ∙

research

∙ 02/16/2022

ActionFormer: Localizing Moments of Actions with Transformers

Self-attention based Transformer models have demonstrated impressive res...

Chenlin Zhang, et al. ∙

research

∙ 01/04/2022

The CAMELS project: public data release

The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS...

Francisco Villaescusa-Navarro, et al. ∙

research

∙ 12/24/2021

Virtuoso: Video-based Intelligence for real-time tuning on SOCs

Efficient and adaptive computer vision systems have been proposed to mak...

Jayoung Lee, et al. ∙

research

∙ 12/16/2021

RegionCLIP: Region-based Language-Image Pretraining

Contrastive language-image pretraining (CLIP) using image-text pairs has...

Yiwu Zhong, et al. ∙

research

∙ 11/30/2021

3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image

Visual content creation has spurred a soaring interest given its applica...

Fangzhou Mu, et al. ∙

research

∙ 11/11/2021

Super-resolving Dark Matter Halos using Generative Deep Learning

Generative deep learning methods built upon Convolutional Neural Network...

David Schaurecker, et al. ∙

research

∙ 09/22/2021

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

We present the Cosmology and Astrophysics with MachinE Learning Simulati...

Francisco Villaescusa-Navarro, et al. ∙

research

∙ 09/21/2021

Robust marginalization of baryonic effects for cosmological inference at the field level

We train neural networks to perform likelihood-free inference from (25 h...

Francisco Villaescusa-Navarro, et al. ∙

research

∙ 09/20/2021

Multifield Cosmology with Artificial Intelligence

Astrophysical processes such as feedback from supernovae and active gala...

Francisco Villaescusa-Navarro, et al. ∙

research

∙ 09/16/2021

Towards Non-Line-of-Sight Photography

Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce ...

Jiayong Peng, et al. ∙

research

∙ 09/06/2021

Learning to Generate Scene Graph from Natural Language Supervision

Learning from image-text data has demonstrated recent success for many r...

Yiwu Zhong, et al. ∙

research

∙ 08/03/2021

Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection

Modern deep learning models require large amounts of accurately annotate...

Chen-Lin Zhang, et al. ∙

research

∙ 06/28/2021

Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution

The mining and utilization of features directly affect the classificatio...

Yunsong Zhao, et al. ∙

research

∙ 06/02/2021

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes

Among the most extreme objects in the Universe, active galactic nuclei (...

Ji-won Park, et al. ∙

research

∙ 05/20/2021

Egocentric Activity Recognition and Localization on a 3D Map

Given a video captured from a first person perspective and recorded in a...

Miao Liu, et al. ∙

research

∙ 04/07/2021

Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases

This paper proposes Prism, a secret sharing based approach to compute pr...

Yin Li, et al. ∙

research

∙ 02/07/2021

Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

Transformers have emerged as a powerful tool for a broad range of natura...

Yunyang Xiong, et al. ∙

research

∙ 11/17/2020

Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning

Whole slide images (WSIs) have large resolutions and usually lack locali...

Bin Li, et al. ∙

research

∙ 10/21/2020

ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles

Advanced video analytic systems, including scene classification and obje...

Ran Xu, et al. ∙

research

∙ 07/23/2020

Comprehensive Image Captioning via Scene Graph Decomposition

We address the challenging problem of image captioning by revisiting the...

Yiwu Zhong, et al. ∙

research

∙ 07/03/2020

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Weakly supervised phrase grounding aims at learning region-phrase corres...

Liwei Wang, et al. ∙

research

∙ 05/31/2020

In the Eye of the Beholder: Gaze and Actions in First Person Video

We address the task of jointly determining what a person is doing and wh...

Yin Li, et al. ∙

research

∙ 05/21/2020

Interpretable and Accurate Fine-grained Recognition via Region Grouping

We present an interpretable deep model for fine-grained visual recogniti...

Zixuan Huang, et al. ∙

research

∙ 04/27/2020

Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data – Full Version

Despite exciting progress on cryptography, secure and efficient query pr...

Peeyush Gupta, et al. ∙

research

∙ 04/12/2020

Gradients as Features for Deep Representation Learning

We address the challenging problem of deep representation learning–the e...

Fangzhou Mu, et al. ∙

research

∙ 11/25/2019

Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity

We address the challenging task of anticipating human-object interaction...

Miao Liu, et al. ∙

research

∙ 08/08/2019

Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework

We introduce a novel deep neural network architecture that links visual ...

Deepan Das, et al. ∙

research

∙ 04/05/2019

Paying More Attention to Motion: Attention Distillation for Learning Video Representations

We address the challenging problem of learning motion representations us...

Miao Liu, et al. ∙

research

∙ 11/15/2018

Learning to Predict the Cosmological Structure Formation

Matter evolved under influence of gravity from minuscule density fluctua...

Siyu He, et al. ∙

research

∙ 05/10/2018

Learning to Grasp Without Seeing

Can a robot grasp an unknown object without seeing it? In this paper, we...

Adithyavairavan Murali, et al. ∙

research

∙ 01/31/2018

Privacy-Preserving Secret Shared Computations using MapReduce

Data outsourcing allows data owners to keep their data at untrusted clou...

Shlomi Dolev, et al. ∙

research

∙ 01/08/2018

Deep Crisp Boundaries: From Boundaries to Higher-level Tasks

Edge detection has made significant progress with the help of deep Convo...

Yupei Wang, et al. ∙

research

∙ 04/11/2017

Learning Two-Branch Neural Networks for Image-Text Matching Tasks

This paper investigates two-branch neural networks for image-text matchi...

Liwei Wang, et al. ∙

research

∙ 11/19/2015

Learning Deep Structure-Preserving Image-Text Embeddings

This paper proposes a method for learning joint embeddings of images and...

Liwei Wang, et al. ∙

research

∙ 11/13/2015

Unsupervised Learning of Edges

Data-driven approaches for edge detection have proven effective and achi...

Yin Li, et al. ∙

research

∙ 06/11/2014

The Secrets of Salient Object Segmentation

In this paper we provide an extensive evaluation of fixation prediction ...

Yin Li, et al. ∙

Yin Li

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