no code implementations • COLING 2022 • Jiayi Liu, Wei Wei, Zhixuan Chu, Xing Gao, Ji Zhang, Tan Yan, Yulin kang
Although the Conditional Variational Auto-Encoder (CVAE) model can generate more diversified responses than the traditional Seq2Seq model, the responses often have low relevance with the input words or are illogical with the question.
no code implementations • 22 Mar 2024 • Jiayi Liu, Manolis Savva, Ali Mahdavi-Amiri
3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics.
no code implementations • 17 Feb 2024 • Jiayi Liu, Tinghan Yang, Jennifer Neville
Our experiments explore the performance of CliqueParcel, including efficiency, faithfulness, and the trade-off between them.
no code implementations • 15 Dec 2023 • Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi-Amiri, Manolis Savva
We address the challenge of generating 3D articulated objects in a controllable fashion.
1 code implementation • ICCV 2023 • Jiayi Liu, Ali Mahdavi-Amiri, Manolis Savva
Our approach improves reconstruction relative to state-of-the-art baselines with a Chamfer-L1 distance reduction of 3. 94 (45. 2%) for objects and 26. 79 (84. 5%) for parts, and achieves 5% error rate for motion estimation across 10 object categories.
1 code implementation • 12 Aug 2023 • Jiayi Liu, Jennifer Neville
Email platforms need to generate personalized rankings of emails that satisfy user preferences, which may vary over time.
1 code implementation • 19 Jul 2023 • Guohai Xu, Jiayi Liu, Ming Yan, Haotian Xu, Jinghui Si, Zhuoran Zhou, Peng Yi, Xing Gao, Jitao Sang, Rong Zhang, Ji Zhang, Chao Peng, Fei Huang, Jingren Zhou
In this paper, we present CValues, the first Chinese human values evaluation benchmark to measure the alignment ability of LLMs in terms of both safety and responsibility criteria.
1 code implementation • 16 Apr 2023 • Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou
In this paper, we present ChatPLUG, a Chinese open-domain dialogue system for digital human applications that instruction finetunes on a wide range of dialogue tasks in a unified internet-augmented format.
no code implementations • 21 Feb 2023 • Peng Wang, Weihua Wu, Jiayi Liu, Guanhua Chai, Li Feng
More specifically, Bernstein approximations are employed to convert the chance constraint into a calculable constraint, and Bisection search method is proposed to obtain the optimal allocation solution with low complexity.
no code implementations • 20 Sep 2022 • Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao, Ji Zhang
A multi-aspect attentive network is proposed to automatically attend to different aspects in a review and ensure most of the issues are tackled.
no code implementations • 20 Sep 2022 • Jiayi Liu, Wei Wei, Zhixuan Chu, Xing Gao, Ji Zhang, Tan Yan, Yulin kang
Although the Conditional Variational AutoEncoder (CVAE) model can generate more diversified responses than the traditional Seq2Seq model, the responses often have low relevance with the input words or are illogical with the question.
1 code implementation • 23 Aug 2022 • Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen
Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions.
no code implementations • CVPR 2022 • Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao
In this paper, we propose an exemplar-based visual pattern synthesis framework that aims to model the inner statistics of visual patterns and generate new, versatile patterns that meet the aforementioned requirements.
1 code implementation • 24 Mar 2022 • Zhongping Zhang, Yiwen Gu, Bryan A. Plummer, Xin Miao, Jiayi Liu, Huayan Wang
We evaluate our method on MovieNet and Condensed Movies datasets, achieving approximate 6-9% improvement in mean Average Precision (mAP) over the baselines.
no code implementations • 9 Jan 2022 • Xin Miao, Jiayi Liu, Huayan Wang, Jun Fu
We present a new dataset with the goal of training models to understand the layout of the objects and the context of the image then to find the main subjects among them.
no code implementations • 19 Oct 2021 • Xin Miao, Huayan Wang, Jun Fu, Jiayi Liu, Shen Wang, Zhenyu Liao
The style vectors are fed to the generator and discriminator to achieve fine-grained control.
no code implementations • ICCV 2021 • Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao
We propose ToFu, Topologically consistent Face from multi-view, a geometry inference framework that can produce topologically consistent meshes across facial identities and expressions using a volumetric representation instead of an explicit underlying 3DMM.
no code implementations • 6 Jun 2021 • Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions.
no code implementations • CVPR 2021 • Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah
BN uses scaling and shifting to normalize activations of mini-batches to accelerate convergence and improve generalization.
no code implementations • 15 Nov 2020 • Wei Wei, Jiayi Liu, Xianling Mao, Guibin Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions.
no code implementations • 8 May 2020 • Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
With the general trend of increasing Convolutional Neural Network (CNN) model sizes, model compression and acceleration techniques have become critical for the deployment of these models on edge devices.
1 code implementation • 6 Nov 2019 • Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
Tuning machine learning models at scale, especially finding the right hyperparameter values, can be difficult and time-consuming.
no code implementations • 2 Nov 2019 • Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
However, on-device learning is an expansive field with connections to a large number of related topics in AI and machine learning (including online learning, model adaptation, one/few-shot learning, etc.).
no code implementations • 14 May 2019 • Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah, Sauptik Dhar
In this paper, we explore techniques centered around periodic sampling of model weights that provide convergence improvements on gradient update methods (vanilla \acs{SGD}, Momentum, Adam) for a variety of vision problems (classification, detection, segmentation).
no code implementations • 2 Jul 2018 • Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
We perform a variety of analysis using the MNIST dataset and validate the approach with a number of DNN models using pre-trained models on the ImageNet dataset.
no code implementations • 25 Jan 2018 • Jayanta K. Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah
We apply this technique to generate models for multiple image datasets and show that these models achieve performance comparable to state-of-the-art (and even surpassing the state-of-the-art in one case).
no code implementations • 18 Aug 2017 • Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li
We present LADDER, the first deep reinforcement learning agent that can successfully learn control policies for large-scale real-world problems directly from raw inputs composed of high-level semantic information.