b'Jun Gao'

research

∙ 08/10/2023

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

This work considers gradient-based mesh optimization, where we iterative...

0 Tianchang Shen, et al. ∙

research

∙ 06/14/2023

Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Masked autoencoder (MAE) has attracted unprecedented attention and achie...

0 Qingbo Kang, et al. ∙

research

∙ 05/27/2023

A Diffusion Model for Event Skeleton Generation

Event skeleton generation, aiming to induce an event schema skeleton gra...

0 Fangqi Zhu, et al. ∙

research

∙ 04/06/2023

Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes

Reconstruction and intrinsic decomposition of scenes from captured image...

0 Zian Wang, et al. ∙

research

∙ 03/07/2023

Exploring the Feasibility of ChatGPT for Event Extraction

Event extraction is a fundamental task in natural language processing th...

0 Jun Gao, et al. ∙

research

∙ 01/06/2023

Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction

We present Mask-then-Fill, a flexible and effective data augmentation fr...

0 Jun Gao, et al. ∙

research

∙ 11/18/2022

Magic3D: High-Resolution Text-to-3D Content Creation

DreamFusion has recently demonstrated the utility of a pre-trained text-...

0 Chen-Hsuan Lin, et al. ∙

research

∙ 11/02/2022

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

Event extraction (EE) is crucial to downstream tasks such as new aggrega...

0 Haolin Deng, et al. ∙

research

∙ 10/27/2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

We present Twin Answer Sentences Attack (TASA), an adversarial attack me...

0 Yu Cao, et al. ∙

research

∙ 09/22/2022

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

As several industries are moving towards modeling massive 3D virtual wor...

27 Jun Gao, et al. ∙

research

∙ 07/05/2022

Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention

Existing transformer-based image backbones typically propagate feature i...

17 Gary Leung, et al. ∙

research

∙ 06/09/2022

Model Degradation Hinders Deep Graph Neural Networks

Graph Neural Networks (GNNs) have achieved great success in various grap...

0 Wentao Zhang, et al. ∙

research

∙ 05/22/2022

Interpretable Proof Generation via Iterative Backward Reasoning

We present IBR, an Iterative Backward Reasoning model to solve the proof...

3 Hanhao Qu, et al. ∙

research

∙ 05/07/2022

Empathetic Response Generation with State Management

The goal of empathetic response generation is to enhance the ability of ...

0 Yuhan Liu, et al. ∙

research

∙ 03/29/2022

Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images

Exploiting light field data makes it possible to obtain dense and accura...

8 Kunyuan Li, et al. ∙

research

∙ 03/15/2022

Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering

Representations of events described in text are important for various ta...

0 Jun Gao, et al. ∙

research

∙ 12/20/2021

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis

Native code is now commonplace within Android app packages where it co-e...

0 Jordan Samhi, et al. ∙

research

∙ 11/24/2021

Extracting Triangular 3D Models, Materials, and Lighting From Images

We present an efficient method for joint optimization of topology, mater...

5 Jacob Munkberg, et al. ∙

research

∙ 11/08/2021

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis

We introduce DMTet, a deep 3D conditional generative model that can synt...

12 Tianchang Shen, et al. ∙

research

∙ 10/30/2021

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

We consider the challenging problem of predicting intrinsic object prope...

4 Wenzheng Chen, et al. ∙

research

∙ 08/30/2021

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations

We propose a method to create plausible geometric and texture style vari...

4 Kangxue Yin, et al. ∙

research

∙ 08/02/2021

Evaluating Deep Graph Neural Networks

Graph Neural Networks (GNNs) have already been widely applied in various...

0 Wentao Zhang, et al. ∙

research

∙ 05/30/2021

REAM♯: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation

The lack of reliable automatic evaluation metrics is a major impediment ...

0 Jun Gao, et al. ∙

research

∙ 04/13/2021

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

We introduce DatasetGAN: an automatic procedure to generate massive data...

40 Yuxuan Zhang, et al. ∙

research

∙ 11/04/2020

A Survey on Contact Tracing: the Latest Advancements and Challenges

Infectious diseases are caused by pathogenic microorganisms, such as bac...

0 Ting Jiang, et al. ∙

research

∙ 11/03/2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

3D shape representations that accommodate learning-based 3D reconstructi...

17 Jun Gao, et al. ∙

research

∙ 10/18/2020

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering

Differentiable rendering has paved the way to training neural networks t...

10 Yuxuan Zhang, et al. ∙

research

∙ 09/27/2020

Large Deviation Principle for the Whittaker 2d Growth Model

The Whittaker 2d growth model is a triangular continuous Markov diffusio...

0 Jun Gao, et al. ∙

research

∙ 09/13/2020

Information Laundering for Model Privacy

In this work, we propose information laundering, a novel framework for e...

12 Xinran Wang, et al. ∙

research

∙ 08/24/2020

Interactive Annotation of 3D Object Geometry using 2D Scribbles

Inferring detailed 3D geometry of the scene is crucial for robotics appl...

1 Tianchang Shen, et al. ∙

research

∙ 08/21/2020

Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid

In modern computer vision, images are typically represented as a fixed u...

0 Jun Gao, et al. ∙

research

∙ 08/04/2020

Anchor: Locating Android Framework-specific Crashing Faults

Android framework-specific app crashes are hard to debug. Indeed, the ca...

0 Pingfan Kong, et al. ∙

research

∙ 07/09/2020

EPI-based Oriented Relation Networks for Light Field Depth Estimation

Light fields record not only the spatial information of observed scenes ...

0 Kunyuan Li, et al. ∙

research

∙ 11/22/2019

A Discrete CVAE for Response Generation on Short-Text Conversation

Neural conversation models such as encoder-decoder models are easy to ge...

0 Jun Gao, et al. ∙

research

∙ 08/03/2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

Many machine learning models operate on images, but ignore the fact that...

14 Wenzheng Chen, et al. ∙

research

∙ 07/28/2019

Representation Degeneration Problem in Training Natural Language Generation Models

We study an interesting problem in training neural network-based models ...

0 Jun Gao, et al. ∙

research

∙ 07/24/2019

Fine-Grained Sentence Functions for Short-Text Conversation

Sentence function is an important linguistic feature referring to a user...

0 Wei Bi, et al. ∙

research

∙ 04/03/2019

Personalized Bundle List Recommendation

Product bundling, offering a combination of items to customers, is one o...

0 Jinze Bai, et al. ∙

research

∙ 03/27/2019

Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing

We present a method for compositing virtual objects into a photograph su...

0 Jun Gao, et al. ∙

research

∙ 03/16/2019

Fast Interactive Object Annotation with Curve-GCN

Manually labeling objects by tracing their boundaries is a laborious pro...

0 Huan Ling, et al. ∙

research

∙ 01/12/2019

DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces

Reconstruction of geometry based on different input modes, such as image...

12 Jun Gao, et al. ∙

research

∙ 11/14/2018

Generating Multiple Diverse Responses for Short-Text Conversation

Neural generative models have become popular and achieved promising perf...

0 Jun Gao, et al. ∙

research

∙ 09/02/2018

Learning to Navigate for Fine-grained Classification

Fine-grained classification is challenging due to the difficulty of find...

0 Tiange Luo, et al. ∙

research

∙ 11/17/2017

ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation

A user can be represented as what he/she does along the history. A commo...

0 Chang Zhou, et al. ∙

research

∙ 10/19/2017

Artificial-Noise-Aided Secure Channel with a Full-duplex Source

This paper consider a new secure communication scene where a full-duplex...

0 Xinyue Hu, et al. ∙

research

∙ 09/15/2017

AndroZoo++: Collecting Millions of Android Apps and Their Metadata for the Research Community

We present a growing collection of Android apps collected from several s...

0 Li Li, et al. ∙

research

∙ 05/28/2017

Direct Mapping Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implications on Force Field Development

The excited states of polyatomic systems are rather complex, and often e...

0 Fang Liu, et al. ∙

Jun Gao

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