Search Results for author: Yanjun Wang

Found 14 papers, 5 papers with code

Approximately Aligned Decoding

no code implementations1 Oct 2024 Daniel Melcer, Sujan Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras

It is common to reject undesired outputs of Large Language Models (LLMs); however, current methods to do so require an excessive amount of computation, or severely distort the distribution of outputs.

Computational Efficiency

AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints

no code implementations11 Jan 2024 Shaochun Li, Yanjun Wang, Hengfan Cai, Lina Deng, Yunhao Lin

Real-time and accurate information on fine-grained changes in crop cultivation is of great significance for crop growth monitoring, yield prediction and agricultural structure adjustment.

Change Detection

Evaluating the potential impacts of grey seal predation and fishery bycatch/discards on cod productivity on the Western Scotian Shelf and in the Bay of Fundy

no code implementations16 Aug 2023 Steven P. Rossi, Yanjun Wang, Cornelia E. den Heyer, Hugues P. Benoît

We developed a statistical catch-at-age model for 4X5Y cod that accounted for both grey seal predation and estimated bycatch/discards to evaluate the degree to which either of these factors may influence cod mortality.

Learning Dense UV Completion for Human Mesh Recovery

no code implementations20 Jul 2023 Yanjun Wang, Qingping Sun, Wenjia Wang, Jun Ling, Zhongang Cai, Rong Xie, Li Song

Our method utilizes a dense correspondence map to separate visible human features and completes human features on a structured UV map dense human with an attention-based feature completion module.

Human Mesh Recovery

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction

1 code implementation ICCV 2023 Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura

As it is hard to calibrate single-view RGB images in the wild, existing 3D human mesh reconstruction (3DHMR) methods either use a constant large focal length or estimate one based on the background environment context, which can not tackle the problem of the torso, limb, hand or face distortion caused by perspective camera projection when the camera is close to the human body.

3D Human Pose Estimation 3D Reconstruction

AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

1 code implementation30 Jan 2023 Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li

To this end, we propose to achieve personalized spatial audio by reconstructing 3D human ears with single-view images.

Depth Estimation

Representation-Agnostic Shape Fields

1 code implementation ICLR 2022 Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang

In this study, we present Representation-Agnostic Shape Fields (RASF), a generalizable and computation-efficient shape embedding module for 3D deep learning.

Deep Learning

Learning Multiscale Correlations for Human Motion Prediction

no code implementations19 Mar 2021 Honghong Zhou, Caili Guo, Hao Zhang, Yanjun Wang

We evaluate our approach on two standard benchmark datasets for human motion prediction: Human3. 6M and CMU motion capture dataset.

Human motion prediction motion prediction

Distributionally Robust Joint Chance-Constrained Programming with Wasserstein Metric

no code implementations8 Mar 2021 Yining Gu, Yanjun Wang

Specifically, when the constraint function is affine in both the decision variable and the uncertainty, then the resulting approximation model is equivalent to a tractable mixed-integer convex reformulation for joint binary DRCCP.

Optimization and Control

From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion

no code implementations11 Nov 2020 Yu Lin, Lishuai Li, Pan Ren, Yanjun Wang, W. Y. Szeto

In this study, we propose a new flight delay model, Multi-layer Air Traffic Network Delay (MATND) model, to capture the impact of en-route congestion on flight delays over an air traffic network.

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