Search Results for author: Xinyu Gong

Found 20 papers, 11 papers with code

Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions

no code implementations5 Nov 2023 Xinyu Gong, Jason Holmes, Yiwei Li, Zhengliang Liu, Qi Gan, Zihao Wu, Jianli Zhang, Yusong Zou, Yuxi Teng, Tian Jiang, Hongtu Zhu, Wei Liu, Tianming Liu, Yajun Yan

Recent advances in Large Language Models (LLMs) have presented new opportunities for integrating Artificial General Intelligence (AGI) into biological research and education.

Logical Reasoning Multiple-choice

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes

1 code implementation19 Sep 2022 Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang

Our framework, called NeRF with Self-supervised Object Segmentation NeRF-SOS, couples object segmentation and neural radiance field to segment objects in any view within a scene.

Object Segmentation +2

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis

2 code implementations11 May 2022 Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang

Advanced deep neural networks (DNNs), designed by either human or AutoML algorithms, are growing increasingly complex.

Neural Architecture Search

Unified Implicit Neural Stylization

1 code implementation5 Apr 2022 Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang

Representing visual signals by implicit representation (e. g., a coordinate based deep network) has prevailed among many vision tasks.

Neural Stylization Novel View Synthesis

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

1 code implementation26 Aug 2021 Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

This work targets designing a principled and unified training-free framework for Neural Architecture Search (NAS), with high performance, low cost, and in-depth interpretation.

Neural Architecture Search

SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization

1 code implementation13 May 2021 Aaditya Singh, Shreeshail Hingane, Xinyu Gong, Zhangyang Wang

We demonstrate that plugging SAFIN into the base network of another state-of-the-art method results in enhanced stylization.

Style Transfer

NADS: Neural Architecture Distribution Search for Uncertainty Awareness

no code implementations ICML 2020 Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian

Machine learning (ML) systems often encounter Out-of-Distribution (OoD) errors when dealing with testing data coming from a distribution different from training data.

Out of Distribution (OOD) Detection

AutoSpeech: Neural Architecture Search for Speaker Recognition

3 code implementations7 May 2020 Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang

Speaker recognition systems based on Convolutional Neural Networks (CNNs) are often built with off-the-shelf backbones such as VGG-Net or ResNet.

Ranked #6 on Speaker Identification on VoxCeleb1 (using extra training data)

Image Classification Neural Architecture Search +3

FasterSeg: Searching for Faster Real-time Semantic Segmentation

2 code implementations ICLR 2020 Wuyang Chen, Xinyu Gong, Xian-Ming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

We present FasterSeg, an automatically designed semantic segmentation network with not only state-of-the-art performance but also faster speed than current methods.

Neural Architecture Search Real-Time Semantic Segmentation +1

EnlightenGAN: Deep Light Enhancement without Paired Supervision

8 code implementations17 Jun 2019 Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data?

Generative Adversarial Network Image Restoration +1

Conditional Adversarial Generative Flow for Controllable Image Synthesis

no code implementations CVPR 2019 Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li

Flow-based generative models show great potential in image synthesis due to its reversible pipeline and exact log-likelihood target, yet it suffers from weak ability for conditional image synthesis, especially for multi-label or unaware conditions.

Image Generation

Neural Stereoscopic Image Style Transfer

no code implementations ECCV 2018 Xinyu Gong, HaoZhi Huang, Lin Ma, Fumin Shen, Wei Liu, Tong Zhang

While each view of the stereoscopic pair is processed in an individual path, a novel feature aggregation strategy is proposed to effectively share information between the two paths.

Style Transfer

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