Search Results for author: Qian Huang

Found 26 papers, 16 papers with code

An Improved Artificial Fish Swarm Algorithm for Solving the Problem of Investigation Path Planning

no code implementations20 Oct 2023 Qian Huang, Weiwen Qian, Chang Li, Xuan Ding

Our objective is to minimize costs, and to achieve this, we propose a chaotic artificial fish swarm algorithm based on multiple population differential evolution (DE-CAFSA).

Decision Making Traveling Salesman Problem

Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network

no code implementations7 Aug 2023 Junzhou Chen, Qian Huang, Yulin Chen, Linyi Qian, Chengyuan Yu

Additionally, we introduce a post-processing method that combines the target information and target contours to distinguish overlapping nuclei and generate an instance segmentation image.

Image Segmentation Instance Segmentation +2

A Voting-Stacking Ensemble of Inception Networks for Cervical Cytology Classification

no code implementations5 Aug 2023 Linyi Qian, Qian Huang, Yulin Chen, Junzhou Chen

To address this issue, we propose a Voting-Stacking ensemble strategy, which employs three Inception networks as base learners and integrates their outputs through a voting ensemble.

Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception

1 code implementation31 Jul 2023 Yuntao Liu, Qian Huang, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Shuyuan Zhao, Yongdong Zhu, Honggang Zhang

Collaboration by leveraging the shared semantic information plays a crucial role in overcoming the perception capability limitations of isolated agents.

Med-Flamingo: a Multimodal Medical Few-shot Learner

1 code implementation27 Jul 2023 Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec

However, existing models typically have to be fine-tuned on sizeable down-stream datasets, which poses a significant limitation as in many medical applications data is scarce, necessitating models that are capable of learning from few examples in real-time.

Medical Visual Question Answering Question Answering +1

PRODIGY: Enabling In-context Learning Over Graphs

no code implementations NeurIPS 2023 Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

In-context learning is the ability of a pretrained model to adapt to novel and diverse downstream tasks by conditioning on prompt examples, without optimizing any parameters.

Knowledge Graphs

Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions

1 code implementation20 Dec 2022 Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber

Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs.

Automated Theorem Proving Code Generation +4

Few-shot Relational Reasoning via Connection Subgraph Pretraining

1 code implementation13 Oct 2022 Qian Huang, Hongyu Ren, Jure Leskovec

Our pretrained model can then be directly applied to target few-shot tasks on without the need for training few-shot tasks.

Meta-Learning Relational Reasoning

Array Camera Image Fusion using Physics-Aware Transformers

1 code implementation5 Jul 2022 Qian Huang, Minghao Hu, David Jones Brady

We demonstrate a physics-aware transformer for feature-based data fusion from cameras with diverse resolution, color spaces, focal planes, focal lengths, and exposure.

Image Generation

Scatter Ptychography

1 code implementation23 Mar 2022 Qian Huang, Zhipeng Dong, Yuzuru Takashima, Timothy J. Schulz, David J. Brady

Coherent illumination reflected by a remote target may be secondarily scattered by intermediate objects or materials.


SequentialPointNet: A strong frame-level parallel point cloud sequence network for 3D action recognition

1 code implementation16 Nov 2021 Xing Li, Qian Huang, Zhijian Wang, Zhenjie Hou, Tianjin Yang

The key to our approach is to divide the main modeling operations into frame-level units executed in parallel, which greatly improves the efficiency of modeling point cloud sequences. Moreover, we propose to flatten the point cloud sequence into a new point data type named hyperpoint sequence that preserves the complete spatial structure of each frame.

3D Action Recognition

Edge Proposal Sets for Link Prediction

2 code implementations30 Jun 2021 Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson

Here, we demonstrate how simply adding a set of edges, which we call a \emph{proposal set}, to the graph as a pre-processing step can improve the performance of several link prediction algorithms.

Experimental Design Link Prediction +1

Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences

no code implementations19 Jan 2021 Chang Li, Qian Huang, Xing Li, Qianhan Wu

We employ depth motion images (DMI) as the templates to generate the multi-scale static representation of actions.

Action Classification Action Recognition +1

Better Set Representations For Relational Reasoning

1 code implementation NeurIPS 2020 Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin Benson

Incorporating relational reasoning into neural networks has greatly expanded their capabilities and scope.

Relational Reasoning

Enhancing Adversarial Example Transferability with an Intermediate Level Attack

1 code implementation ICCV 2019 Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim

We show that we can select a layer of the source model to perturb without any knowledge of the target models while achieving high transferability.

Multispectral Image Intrinsic Decomposition via Subspace Constraint

no code implementations CVPR 2018 Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao

In this paper, a new Multispectral Image Intrinsic Decomposition model (MIID) is presented to decompose the shading and reflectance from a single multispectral image.

Multispectral Image Intrinsic Decomposition via Low Rank Constraint

no code implementations24 Feb 2018 Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao

In this paper, a Low Rank Multispectral Image Intrinsic Decomposition model (LRIID) is presented to decompose the shading and reflectance from a single multispectral image.

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