Humphrey Shi

@UCfyx2L2tWmjxVhvMbu3IPog - 245 subscribers

Mostly research and educational contents (talks, papers, presentations) from my lab or guests, in computer vision, machine learning, ai systems & applications etc.

Home Videos Live Playlists

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light Humphrey Shi

160 views - 11 months ago

OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation

OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation Humphrey Shi

159 views - 1 year ago

StreamingSVD - A StreamingT2V Method for Long Image to Video Generation

StreamingSVD - A StreamingT2V Method for Long Image to Video Generation Humphrey Shi

2.1K views - 1 year ago

StreamingT2V: High-Resolution Long Image-to-Viedeo Generation

StreamingT2V: High-Resolution Long Image-to-Viedeo Generation Humphrey Shi

167 views - 1 year ago

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text Humphrey Shi

2.6K views - 2 years ago

VCoder: Versatile Vision Encoders for Multimodal Large Language Models

VCoder: Versatile Vision Encoders for Multimodal Large Language Models Humphrey Shi

719 views - 2 years ago

Internet Vision: Impact of Internet on Computer Vision, by Tom Huang, 2008

Internet Vision: Impact of Internet on Computer Vision, by Tom Huang, 2008 Humphrey Shi

80 views - 2 years ago

Demo for the Matting Anything Model

Demo for the Matting Anything Model Humphrey Shi

2.8K views - 2 years ago

Invited Talk: From Pixels to Regions: Towards Universal Image Segmentation

Invited Talk: From Pixels to Regions: Towards Universal Image Segmentation Humphrey Shi

1K views - 3 years ago

Oral Paper: Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures.

Oral Paper: Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures. Humphrey Shi

134 views - 3 years ago

Oral Paper: Pseudo-label Generation for Agricultural Robotics Applications

Oral Paper: Pseudo-label Generation for Agricultural Robotics Applications Humphrey Shi

187 views - 3 years ago

Oral Paper: High-Resolution UAV Image Generation for Sorghum Panicle Detection

Oral Paper: High-Resolution UAV Image Generation for Sorghum Panicle Detection Humphrey Shi

183 views - 3 years ago

Oral Paper: 3D Point Cloud Instance Segmentation of Lettuce Based on PartNet

Oral Paper: 3D Point Cloud Instance Segmentation of Lettuce Based on PartNet Humphrey Shi

311 views - 3 years ago

Oral Paper: Unsupervised Domain Adaptation & SR on Drone Img for Auto Dry Herbage Biomass Estimation

Oral Paper: Unsupervised Domain Adaptation & SR on Drone Img for Auto Dry Herbage Biomass Estimation Humphrey Shi

275 views - 3 years ago

Invited Talk: Deep Learning Weed Detection under an Integrated Weed Management Context

Invited Talk: Deep Learning Weed Detection under an Integrated Weed Management Context Humphrey Shi

465 views - 3 years ago

Invited Talk: Land Use Land Cover Classification in the Amhara Region, Northwest Ethiopia Using CNNs

Invited Talk: Land Use Land Cover Classification in the Amhara Region, Northwest Ethiopia Using CNNs Humphrey Shi

570 views - 3 years ago

Invited Talk: Intelligent Crop Management vis Deep Reinforcement Learning and Crop Simulations

Invited Talk: Intelligent Crop Management vis Deep Reinforcement Learning and Crop Simulations Humphrey Shi

430 views - 3 years ago

Agriculture-Vision Prize Challenge 2022: CropHarvest Track Winning Solution

Agriculture-Vision Prize Challenge 2022: CropHarvest Track Winning Solution Humphrey Shi

240 views - 3 years ago

Agriculture-Vision Prize Challenge 2022: Agriculture-Vision Track Winning Solution

Agriculture-Vision Prize Challenge 2022: Agriculture-Vision Track Winning Solution Humphrey Shi

436 views - 3 years ago

Agriculture-Vision 2022 Morning Panel

Agriculture-Vision 2022 Morning Panel Humphrey Shi

190 views - 3 years ago

Invited Talk 1: Transcending Space Through Immersive Telecommunications (Zhengyou Zhang @Tencent)

Invited Talk 1: Transcending Space Through Immersive Telecommunications (Zhengyou Zhang @Tencent) Humphrey Shi

600 views - 4 years ago

FVC Human-Centric Video Matting Challenge: Team ZTE

FVC Human-Centric Video Matting Challenge: Team ZTE Humphrey Shi

156 views - 4 years ago

FVC Human-Centric Video Coding Challenge: ByteDance Team

FVC Human-Centric Video Coding Challenge: ByteDance Team Humphrey Shi

198 views - 4 years ago

FVC Human-Centric Video Coding Challenge: Team DWH-PKU

FVC Human-Centric Video Coding Challenge: Team DWH-PKU Humphrey Shi

137 views - 4 years ago

Invited Talk 5: Image Captioning with Knowledge and Style (Lexing Xie @ ANU)

Invited Talk 5: Image Captioning with Knowledge and Style (Lexing Xie @ ANU) Humphrey Shi

179 views - 4 years ago

Invited Talk 4: Cross-Platform ML for Video Conf with MediaPipe (Chuo-Ling Chang &Tingbo Hou@Google)

Invited Talk 4: Cross-Platform ML for Video Conf with MediaPipe (Chuo-Ling Chang &Tingbo Hou@Google) Humphrey Shi

354 views - 4 years ago

FVC Human-Centric Video Matting Challenge: Team Alibaba-Vision

FVC Human-Centric Video Matting Challenge: Team Alibaba-Vision Humphrey Shi

479 views - 4 years ago

Invited Talk 7: Video Object Segmentation for Video Conferencing (Sergi Caelles @ Google Research)

Invited Talk 7: Video Object Segmentation for Video Conferencing (Sergi Caelles @ Google Research) Humphrey Shi

196 views - 4 years ago

Invited Talk 6: Attention in AI Tasks (Catherine Zhao @ UMN)

Invited Talk 6: Attention in AI Tasks (Catherine Zhao @ UMN) Humphrey Shi

277 views - 4 years ago

Invited Talk 2: Future of Communication (Ira Kemelmacher-Shlizerman @ University of Washington)

Invited Talk 2: Future of Communication (Ira Kemelmacher-Shlizerman @ University of Washington) Humphrey Shi

407 views - 4 years ago

Invited Talk 3: Face-VID2VID: Neural Talking Head Synthesis For Video Conf (Ming-Yu Liu @ Nvidia)

Invited Talk 3: Face-VID2VID: Neural Talking Head Synthesis For Video Conf (Ming-Yu Liu @ Nvidia) Humphrey Shi

2.3K views - 4 years ago

Video Recording of the 2nd Agriculture-Vision Workshop Program @ CVPR 2021

Video Recording of the 2nd Agriculture-Vision Workshop Program @ CVPR 2021 Humphrey Shi

483 views - 4 years ago

Invited Talk 8: AI-Enabled Ag for the Crops We Eat (UC Davis, AI Institute for Next G Food Systems)

Invited Talk 8: AI-Enabled Ag for the Crops We Eat (UC Davis, AI Institute for Next G Food Systems) Humphrey Shi

208 views - 4 years ago

Poster 6: Superpixels & Graph CNN for Efficient Detection of Nutrient Deficiency Stress (Intelinair)

Poster 6: Superpixels & Graph CNN for Efficient Detection of Nutrient Deficiency Stress (Intelinair) Humphrey Shi

320 views - 4 years ago

Poster 3: Multi-resolution Outlier Pooling for Sorghum Classification (Saint Louis University)

Poster 3: Multi-resolution Outlier Pooling for Sorghum Classification (Saint Louis University) Humphrey Shi

150 views - 4 years ago

Poster 5: Fuse-PN: A Novel Arch for Anomaly Pattern Segmentation in Aerial Ag Images (SGGSIET)

Poster 5: Fuse-PN: A Novel Arch for Anomaly Pattern Segmentation in Aerial Ag Images (SGGSIET) Humphrey Shi

143 views - 4 years ago

Poster 2: Towards Computer Vision and Deep Learning Facilitated Pollination (Monash U, Australia)

Poster 2: Towards Computer Vision and Deep Learning Facilitated Pollination (Monash U, Australia) Humphrey Shi

234 views - 4 years ago

Poster 4: Phenology Alignment Network for Cross-Regional Time Series Crop Classification (Wuhan U)

Poster 4: Phenology Alignment Network for Cross-Regional Time Series Crop Classification (Wuhan U) Humphrey Shi

212 views - 4 years ago

Poster 1: Determining Dendrometry Using Drone Scouting, CNNs and Point Clouds (Aalborg U., Denmark)

Poster 1: Determining Dendrometry Using Drone Scouting, CNNs and Point Clouds (Aalborg U., Denmark) Humphrey Shi

197 views - 4 years ago

Invited Talk 6: Digital Gap in Agriculture (Indigo Ag)

Invited Talk 6: Digital Gap in Agriculture (Indigo Ag) Humphrey Shi

139 views - 4 years ago

Invited Talk 7: Smart Farming Together (Intelinair)

Invited Talk 7: Smart Farming Together (Intelinair) Humphrey Shi

195 views - 4 years ago

Invited Talk 4: How Robotics is Changing Agriculture (John Deere & Blue River Technology)

Invited Talk 4: How Robotics is Changing Agriculture (John Deere & Blue River Technology) Humphrey Shi

261 views - 4 years ago

Invited Talk 5: Integration of High-Res 3D Plant Biophysical and Computer Vision Models (UC Davis)

Invited Talk 5: Integration of High-Res 3D Plant Biophysical and Computer Vision Models (UC Davis) Humphrey Shi

205 views - 4 years ago

Invited Talk 3: NSF Institute for AIFARMS (UIUC)

Invited Talk 3: NSF Institute for AIFARMS (UIUC) Humphrey Shi

205 views - 4 years ago

Invited Talk 1: Data-Driven Decisions in Agriculture (MIT)

Invited Talk 1: Data-Driven Decisions in Agriculture (MIT) Humphrey Shi

262 views - 4 years ago

Invited Keynote: Data-Driven Agriculture (Microsoft)

Invited Keynote: Data-Driven Agriculture (Microsoft) Humphrey Shi

673 views - 4 years ago

UltraSR for Arbitrary-Scale Super-Resolution

UltraSR for Arbitrary-Scale Super-Resolution Humphrey Shi

349 views - 5 years ago

Paper 11: Hard Occlusions in Visual Object Tracking, University of Amsterdam, The Netherlands

Paper 11: Hard Occlusions in Visual Object Tracking, University of Amsterdam, The Netherlands Humphrey Shi

124 views - 5 years ago

Paper 6: Self-Supervised Attribute-Aware Refinement Net for Low-Quality Text Recog, GIST&KCTI, Korea

Paper 6: Self-Supervised Attribute-Aware Refinement Net for Low-Quality Text Recog, GIST&KCTI, Korea Humphrey Shi

103 views - 5 years ago

Paper 9: Visible Feature Guidance for Crowd Pedestrian Detection, Aibee Inc. China

Paper 9: Visible Feature Guidance for Crowd Pedestrian Detection, Aibee Inc. China Humphrey Shi

115 views - 5 years ago

Paper 8: Face Mask Invariant End-to-End Face Recognition, Verihubs, Indonesia

Paper 8: Face Mask Invariant End-to-End Face Recognition, Verihubs, Indonesia Humphrey Shi

195 views - 5 years ago

Paper 10: The Impact of Real Rain in a Vision Task, IME & Universidade de S˜ao Paulo (USP), Brasil

Paper 10: The Impact of Real Rain in a Vision Task, IME & Universidade de S˜ao Paulo (USP), Brasil Humphrey Shi

78 views - 5 years ago

Paper 7: Two-stage Training for Improved CLS of Poorly Localized Obj. Images, Object Video Labs, USA

Paper 7: Two-stage Training for Improved CLS of Poorly Localized Obj. Images, Object Video Labs, USA Humphrey Shi

64 views - 5 years ago

Paper 5: Challenges from Fast Camera Motion & Image Blur: Dataset and Evaluation,HDU& Tsinghua,China

Paper 5: Challenges from Fast Camera Motion & Image Blur: Dataset and Evaluation,HDU& Tsinghua,China Humphrey Shi

95 views - 5 years ago

Paper 4: What does CNN Shift Invariance Look Like? A Visualization Study, Columbia & UT Austin, USA

Paper 4: What does CNN Shift Invariance Look Like? A Visualization Study, Columbia & UT Austin, USA Humphrey Shi

199 views - 5 years ago

Paper 3: Addressing NN Robustness with Mixup and Targeted Labeling Adversarial Training, Atos France

Paper 3: Addressing NN Robustness with Mixup and Targeted Labeling Adversarial Training, Atos France Humphrey Shi

77 views - 5 years ago

Paper 2: Collaborative Learning with Pseudo Labels for Robust Classification, Samsung, South Korea

Paper 2: Collaborative Learning with Pseudo Labels for Robust Classification, Samsung, South Korea Humphrey Shi

155 views - 5 years ago

Paper 1: Reinforcement Learning for Improving Object Detection, IIT Madras, India

Paper 1: Reinforcement Learning for Improving Object Detection, IIT Madras, India Humphrey Shi

447 views - 5 years ago

Compositional Models and Occlusion, invited talk by Alan L. Yuille, Johns Hopkins University

Compositional Models and Occlusion, invited talk by Alan L. Yuille, Johns Hopkins University Humphrey Shi

368 views - 5 years ago

How the Mobile Phone Became a Camera, invited talk by Peyman Milanfar, Google Research

How the Mobile Phone Became a Camera, invited talk by Peyman Milanfar, Google Research Humphrey Shi

426 views - 5 years ago