8 code implementations • 17 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?
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.
Ranked #1 on Semantic Segmentation on BDD
Neural Architecture Search Real-Time Semantic Segmentation +1
2 code implementations • ICCV 2019 • Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang
Neural architecture search (NAS) has witnessed prevailing success in image classification and (very recently) segmentation tasks.
Ranked #16 on Image Generation on STL-10
4 code implementations • ICLR 2021 • Wuyang Chen, Xinyu Gong, Zhangyang Wang
Can we select the best neural architectures without involving any training and eliminate a drastic portion of the search cost?
3 code implementations • 7 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)
1 code implementation • 19 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.
1 code implementation • 5 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.
1 code implementation • 22 Feb 2021 • Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
We present Sandwich Batch Normalization (SaBN), a frustratingly easy improvement of Batch Normalization (BN) with only a few lines of code changes.
Ranked #20 on Neural Architecture Search on NAS-Bench-201, CIFAR-100
1 code implementation • 13 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.
1 code implementation • 26 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.
2 code implementations • 11 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.
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.
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.
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.
no code implementations • 16 Aug 2020 • Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xian-Ming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Such simplification limits the fusion of information at different scales and fails to maintain high-resolution representations.
no code implementations • ICCV 2021 • Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
We design a multivariate search space, including 6 search variables to capture a wide variety of choices in designing two-stream models.
no code implementations • 9 Dec 2021 • Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
Efficient video architecture is the key to deploying video recognition systems on devices with limited computing resources.
no code implementations • 12 May 2023 • Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
In this paper, we study a novel problem in egocentric action recognition, which we term as "Multimodal Generalization" (MMG).
no code implementations • CVPR 2023 • Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
In this paper, we study a novel problem in egocentric action recognition, which we term as "Multimodal Generalization" (MMG).
no code implementations • 5 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.