Fisher Yu

Orcid: 0000-0001-8829-7344

Affiliations:

ETH Zurich, Switzerland
University of California Berkeley, CA, USA (former)
Princeton University, NJ, USA (PhD)

According to our database¹, Fisher Yu authored at least 120 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

UniDepth: Universal Monocular Metric Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision.

[BibT_eX]

[DOI]

Yutong Hu

Kehan Wen

Fisher Yu

CoRR, 2024

S<sup>3</sup>M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

ICGNet: A Unified Approach for Instance-Centric Grasping.

[BibT_eX]

[DOI]

CoRR, 2024

2023

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Unifying Flow, Stereo and Depth Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Uncertainty-Driven Dense Two-View Structure From Motion.

[BibT_eX]

[DOI]

Weirong Chen

Suryansh Kumar

Fisher Yu

IEEE Robotics Autom. Lett., March, 2023

Monocular Quasi-Dense 3D Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

MuRF: Multi-Baseline Radiance Fields.

[BibT_eX]

[DOI]

CoRR, 2023

Gaussian Grouping: Segment and Edit Anything in 3D Scenes.

[BibT_eX]

[DOI]

CoRR, 2023

Distilling ODE Solvers of Diffusion Models into Smaller Steps.

[BibT_eX]

[DOI]

Sanghwan Kim

Hao Tang

Fisher Yu

CoRR, 2023

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding.

[BibT_eX]

[DOI]

CoRR, 2023

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Anything Meets Point Tracking.

[BibT_eX]

[DOI]

CoRR, 2023

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Anything in High Quality.

[BibT_eX]

[DOI]

CoRR, 2023

Condition-Invariant Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.

[BibT_eX]

[DOI]

CoRR, 2023

Dense Prediction with Attentive Feature Aggregation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Spatio-Temporal Action Detection Under Large Motion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Composite Learning for Robust and Effective Dense Predictions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiMatting: Efficient Video Matting via Binarization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Anything in High Quality.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing.

[BibT_eX]

[DOI]

IROS, 2023

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

IROS, 2023

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BiBench: Benchmarking and Analyzing Network Binarization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Scaling Vision Transformers to 22 Billion Parameters.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Towards Robust Object Detection Invariant to Real-World Domain Shifts.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

[BibT_eX]

[DOI]

Kannappan Palaniappan

Norbert Scherer-Negenborn

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cascade-DETR: Delving into High-Quality Universal Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.

[BibT_eX]

[DOI]

Mattia Segù

Bernt Schiele

Fisher Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MolGrapher: Graph-based Visual Recognition of Chemical Structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video OWL-ViT: Temporally-consistent open-world localization in video.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual Aggregation Transformer for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.

[BibT_eX]

[DOI]

Zhizheng Liu

Mattia Segù

Fisher Yu

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

iDisc: Internal Discretization for Monocular Depth Estimation.

[BibT_eX]

[DOI]

Luigi Piccinelli

Christos Sakaridis

Fisher Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OVTrack: Open-Vocabulary Multiple Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mask-Free Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Maskomaly: Zero-Shot Mask Anomaly Segmentation.

[BibT_eX]

[DOI]

Jan Ackermann

Christos Sakaridis

Fisher Yu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers.

[BibT_eX]

[DOI]

Changyong Shu

Fisher Yu

Yifan Liu

CoRR, 2022

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.

[BibT_eX]

[DOI]

CoRR, 2022

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Fast Hierarchical Learning for Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On the Practicality of Deterministic Epistemic Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

SAGA: Stochastic Whole-Body Grasping with Contact.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Online Multi-sensor Depth Fusion.

[BibT_eX]

[DOI]

Cristian Sminchisescu

Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Tracking Every Thing in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

[BibT_eX]

[DOI]

Joni-Kristian Kämäräinen

Alireza Memarmoghadam

Christian Micheloni

Payman Moallem

Le Thanh Nguyen-Meidine

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Video Mask Transfiner for High-Quality Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Cooperative Learning for Unsupervised Video Anomaly Detection.

[BibT_eX]

[DOI]

Muhammad Zaigham Zaheer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RePaint: Inpainting using Denoising Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mask Transfiner for High-Quality Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LiDAR Snowfall Simulation for Robust 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transforming Model Prediction for Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Dense Prediction with Attentive Feature Aggregation.

[BibT_eX]

[DOI]

CoRR, 2021

TADA: Taxonomy Adaptive Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

On the Practicality of Deterministic Epistemic Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2021

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Instance-Aware Predictive Navigation in Multi-Agent Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Autonomous Vehicle Vision 2021: ICCV Workshop Summary.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Cross-Image Pixel Contrast for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Warp Consistency for Unsupervised Learning of Dense Correspondences.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Quasi-Dense Similarity Learning for Multiple Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Quasi-Dense Instance Similarity Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Frustratingly Simple Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Saliency Propagation for Semi-Supervised Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Task-Aware Deep Sampling for Feature Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Mixture of Experts via Shallow Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep Object-Centric Policies for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Semantic Predictive Control for Explainable and Efficient Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Few-Shot Object Detection via Feature Reweighting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Joint Monocular 3D Vehicle Detection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Disentangling Propagation and Generation for Video Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hierarchical Discrete Distribution Decomposition for Match Density Estimation.

[BibT_eX]

[DOI]

Zhichao Yin

Trevor Darrell

Fisher Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Mixture of Experts via Shallow Embedding.

[BibT_eX]

[DOI]

CoRR, 2018

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.

[BibT_eX]

[DOI]

CoRR, 2018

IDK Cascades: Fast Deep Learning by Learning not to Overthink.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Rich Image Representation with Deep Layer Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Reinforcement Learning from Imperfect Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

SkipNet: Learning Dynamic Routing in Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Layer Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

TextureGAN: Controlling Deep Image Synthesis With Texture Patches.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

SkipNet: Learning Dynamic Routing in Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Layer Aggregation.

[BibT_eX]

[DOI]

Fisher Yu

Dequan Wang

Trevor Darrell

CoRR, 2017

TextureGAN: Controlling Deep Image Synthesis with Texture Patches.

[BibT_eX]

[DOI]

CoRR, 2017

Dilated Residual Networks.

[BibT_eX]

[DOI]

Fisher Yu

Vladlen Koltun

Thomas A. Funkhouser

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

End-to-End Learning of Driving Models from Large-Scale Video Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Semantic Scene Completion from a Single Depth Image.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Scribbler: Controlling Deep Image Synthesis with Sketch and Color.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Large-Scale 3D Shape Retrieval from ShapeNet Core55.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Interactive 3D Modeling with a Generative Adversarial Network.

[BibT_eX]

[DOI]

Jerry Liu

Fisher Yu

Thomas A. Funkhouser

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Automatic triage for a photo series.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

Multi-Scale Context Aggregation by Dilated Convolutions.

[BibT_eX]

[DOI]

Fisher Yu

Vladlen Koltun

Proceedings of the 4th International Conference on Learning Representations, 2016

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

[BibT_eX]

[DOI]

CoRR, 2016

Large-Scale 3D Shape Retrieval from ShapeNet Core55.

[BibT_eX]

[DOI]

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

[BibT_eX]

[DOI]

CoRR, 2015

ShapeNet: An Information-Rich 3D Model Repository.

[BibT_eX]

[DOI]

CoRR, 2015

Semantic alignment of LiDAR data at city scale.

[BibT_eX]

[DOI]

Fisher Yu

Jianxiong Xiao

Thomas A. Funkhouser

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D ShapeNets: A deep representation for volumetric shapes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

3D Reconstruction from Accidental Motion.

[BibT_eX]

[DOI]

Fisher Yu

David Gallup

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

HelpingHand: example-based stroke stylization.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2012

Fisher Yu

Timeline

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