Search Results for author: Jin Sun

Found 21 papers, 3 papers with code

MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation

no code implementations14 Nov 2023 Ehsan Asali, Prashant Doshi, Jin Sun

Performance evaluations on two distinct domains establish that MVSA-Net recognizes the state-action pairs under occlusion more accurately compared to single-view MVSA-Net and other baselines.

Action Recognition

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

no code implementations14 Sep 2023 Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, WenZhan Song

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas.

Decision Making

Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation

no code implementations28 May 2023 Jin Sun, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu

Then, we build a pure-MLP architecture called Caterpillar by replacing the convolutional layer with the SPC module in a hybrid model of sMLPNet.

Computational Efficiency Inductive Bias

SAM for Poultry Science

no code implementations17 May 2023 Xiao Yang, Haixing Dai, Zihao Wu, Ramesh Bist, Sachin Subedi, Jin Sun, Guoyu Lu, Changying Li, Tianming Liu, Lilong Chai

This study aims to assess the zero-shot segmentation performance of SAM on representative chicken segmentation tasks, including part-based segmentation and the use of infrared thermal images, and to explore chicken-tracking tasks by using SAM as a segmentation tool.

Object Tracking Segmentation +2

AGI for Agriculture

no code implementations12 Apr 2023 Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Tianming Liu, Changying Li

Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education.

Decision Making Knowledge Graphs +1

Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision

1 code implementation ICCV 2021 Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun, Noah Snavely

The abundance and richness of Internet photos of landmarks and cities has led to significant progress in 3D vision over the past two decades, including automated 3D reconstructions of the world's landmarks from tourist photos.

Descriptive Image Captioning +1

Structure Of Flavor Changing Goldstone Boson Interactions

no code implementations15 Jan 2021 Jin Sun, Yu Cheng, Xiao-Gang He

Or it may be the Majoron in models from lepton number violation in producing seesaw Majorana neutrino masses if the symmetry breaking scale is much higher than the electroweak scale.

High Energy Physics - Phenomenology

Hidden Footprints: Learning Contextual Walkability from 3D Human Trails

no code implementations ECCV 2020 Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely

Predicting where people can walk in a scene is important for many tasks, including autonomous driving systems and human behavior analysis.

Autonomous Driving valid

Leveraging Vision Reconstruction Pipelines for Satellite Imagery

no code implementations7 Oct 2019 Kai Zhang, Jin Sun, Noah Snavely

Reconstructing 3D geometry from satellite imagery is an important topic of research.

3D Reconstruction

Fair Pricing of Variable Annuities with Guarantees under the Benchmark Approach

no code implementations4 Jun 2019 Jin Sun, Kevin Fergusson, Eckhard Platen, Pavel V. Shevchenko

We consider two pricing approaches, the classical risk-neutral approach and the benchmark approach, and we examine the associated static and optimal behaviors of both the investor and insurer.

Siamese Networks for Semantic Pattern Similarity

no code implementations17 Dec 2018 Yassine Benajiba, Jin Sun, Yong Zhang, Longquan Jiang, Zhiliang Weng, Or Biran

Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract semantic pattern (e. g., preposition or frame).

Question Answering

The Sentimental Value of Chinese Sub-Character Components

no code implementations WS 2017 Yassine Benajiba, Or Biran, Zhiliang Weng, Yong Zhang, Jin Sun

Sub-character components of Chinese characters carry important semantic information, and recent studies have shown that utilizing this information can improve performance on core semantic tasks.

Sentiment Analysis Word Embeddings

MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction

no code implementations IJCNLP 2017 Yassine Benajiba, Jin Sun, Yong Zhang, Zhiliang Weng, Or Biran

This paper introduces Mainiway AI Labs submitted system for the IJCNLP 2017 shared task on Dimensional Sentiment Analysis of Chinese Phrases (DSAP), and related experiments.

Sentiment Analysis Task 2 +1

Semi-supervised Conditional GANs

no code implementations19 Aug 2017 Kumar Sricharan, Raja Bala, Matthew Shreve, Hui Ding, Kumar Saketh, Jin Sun

We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework.

Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing

no code implementations CVPR 2017 Jin Sun, David W. Jacobs

Combined with object detection results, we can perform a novel vision task: finding where objects are missing in an image.

Object object-detection +1

Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval

no code implementations CVPR 2017 Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis

Since interactions between objects can be reduced to a limited set of atomic spatial relations in 3D, we study the possibility of inferring 3D structure from a text description rather than an image, applying physical relation models to synthesize holistic 3D abstract object layouts satisfying the spatial constraints present in a textual description.

Image Retrieval Object +3

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