no code implementations • 2 Jan 2024 • Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal
While previous works have explored image generation conditioned on scene graphs or layouts, our task is distinctive and important as it involves generating scene graphs themselves unconditionally from noise, enabling efficient and interpretable control for image generation.
no code implementations • 3 Oct 2023 • Qi Yan, Raihan Seraj, JiaWei He, Lili Meng, Tristan Sylvain
Machine-based prediction of real-world events is garnering attention due to its potential for informed decision-making.
1 code implementation • 4 Jul 2023 • Qi Yan, Zhengyang Liang, Yang song, Renjie Liao, Lele Wang
Diffusion models based on permutation-equivariant networks can learn permutation-invariant distributions for graph data.
no code implementations • 21 Jun 2023 • Chiyu Zhang, Qi Yan, Lili Meng, Tristan Sylvain
Despite these advances, there remains a significant gap in understanding the impact of different SSCL strategies on time series forecasting performance, as well as the specific benefits that SSCL can bring.
no code implementations • 31 May 2022 • Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng
To this end, adaptive ad exposure has become an appealing strategy to boost the overall performance of the feed.
3 code implementations • CVPR 2022 • Qi Yan, Jianhao Zheng, Simon Reding, Shanci Li, Iordan Doytchinov
We present a visual localization system that learns to estimate camera poses in the real world with the help of synthetic data.
4 code implementations • ICCV 2021 • Yuejiang Liu, Qi Yan, Alexandre Alahi
Learning socially-aware motion representations is at the core of recent advances in multi-agent problems, such as human motion forecasting and robot navigation in crowds.
Ranked #1 on Trajectory Prediction on TrajNet++
1 code implementation • 10 Dec 2019 • Qi Yan, Li Jiang, Solmaz Kia
Optimal selection of which teammates a robot should take a relative measurement from such that the updated joint localization uncertainty of the team is minimized is an NP-hard problem.
Robotics
no code implementations • 6 Nov 2018 • Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian. K. Liu
When a deep CNN with many layers is used for the visual system, it is not easy to compare the structure components of CNNs with possible neuroscience underpinnings due to highly complex circuits from the retina to higher visual cortex.
no code implementations • 8 Nov 2017 • Qi Yan, Zhaofei Yu, Feng Chen, Jian. K. Liu
By training CNNs with white noise images to predicate neural responses, we found that convolutional filters learned in the end are resembling to biological components of the retinal circuit.