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 125 papers between 2012 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving.
IEEE Trans. Intell. Veh., February, 2024

HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution.
CoRR, 2024

DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision.
CoRR, 2024

S<sup>3</sup>M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving.
CoRR, 2024

ICGNet: A Unified Approach for Instance-Centric Grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Flexible Residual Binarization for Image Super-Resolution.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lightweight Image Super-Resolution via Flexible Meta Pruning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gaussian Grouping: Segment and Edit Anything in 3D Scenes.
Proceedings of the Computer Vision - ECCV 2024, 2024

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs.
Proceedings of the Computer Vision - ECCV 2024, 2024

MuRF: Multi-Baseline Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

UniDepth: Universal Monocular Metric Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Matching Anything by Segmenting Anything.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distilling ODE Solvers of Diffusion Models into Smaller Steps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Unifying Flow, Stereo and Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Uncertainty-Driven Dense Two-View Structure From Motion.
IEEE Robotics Autom. Lett., March, 2023

Monocular Quasi-Dense 3D Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding.
CoRR, 2023

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.
CoRR, 2023

Segment Anything Meets Point Tracking.
CoRR, 2023

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
CoRR, 2023

Condition-Invariant Semantic Segmentation.
CoRR, 2023

Dense Prediction with Attentive Feature Aggregation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Spatio-Temporal Action Detection Under Large Motion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Composite Learning for Robust and Effective Dense Predictions.
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.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Anything in High Quality.
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.
IROS, 2023

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning.
IROS, 2023

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BiBench: Benchmarking and Analyzing Network Binarization.
Proceedings of the International Conference on Machine Learning, 2023


Towards Robust Object Detection Invariant to Real-World Domain Shifts.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cascade-DETR: Delving into High-Quality Universal Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MolGrapher: Graph-based Visual Recognition of Chemical Structures.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video OWL-ViT: Temporally-consistent open-world localization in video.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual Aggregation Transformer for Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

iDisc: Internal Discretization for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OVTrack: Open-Vocabulary Multiple Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mask-Free Video Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Maskomaly: Zero-Shot Mask Anomaly Segmentation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields.
IEEE Robotics Autom. Lett., 2022

3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers.
CoRR, 2022

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.
CoRR, 2022

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Fast Hierarchical Learning for Few-Shot Object Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On the Practicality of Deterministic Epistemic Uncertainty.
Proceedings of the International Conference on Machine Learning, 2022

SAGA: Stochastic Whole-Body Grasping with Contact.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Online Multi-sensor Depth Fusion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Tracking Every Thing in the Wild.
Proceedings of the Computer Vision - ECCV 2022, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Video Mask Transfiner for High-Quality Video Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Cooperative Learning for Unsupervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RePaint: Inpainting using Denoising Diffusion Probabilistic Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mask Transfiner for High-Quality Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LiDAR Snowfall Simulation for Robust 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transforming Model Prediction for Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion.
Proceedings of the Conference on Robot Learning, 2022

2021
Dense Prediction with Attentive Feature Aggregation.
CoRR, 2021

TADA: Taxonomy Adaptive Domain Adaptation.
CoRR, 2021

On the Practicality of Deterministic Epistemic Uncertainty.
CoRR, 2021

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Autonomous Vehicle Vision 2021: ICCV Workshop Summary.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Cross-Image Pixel Contrast for Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Warp Consistency for Unsupervised Learning of Dense Correspondences.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Quasi-Dense Similarity Learning for Multiple Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Quasi-Dense Instance Similarity Learning.
CoRR, 2020

Frustratingly Simple Few-Shot Object Detection.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Saliency Propagation for Semi-Supervised Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Task-Aware Deep Sampling for Feature Generation.
CoRR, 2019

Deep Mixture of Experts via Shallow Embedding.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep Object-Centric Policies for Autonomous Driving.
Proceedings of the International Conference on Robotics and Automation, 2019

Semantic Predictive Control for Explainable and Efficient Policy Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Few-Shot Object Detection via Feature Reweighting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Joint Monocular 3D Vehicle Detection and Tracking.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Disentangling Propagation and Generation for Video Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hierarchical Discrete Distribution Decomposition for Match Density Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Mixture of Experts via Shallow Embedding.
CoRR, 2018

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.
CoRR, 2018

IDK Cascades: Fast Deep Learning by Learning not to Overthink.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Rich Image Representation with Deep Layer Aggregation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Reinforcement Learning from Imperfect Demonstrations.
Proceedings of the 6th International Conference on Learning Representations, 2018

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

SkipNet: Learning Dynamic Routing in Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Layer Aggregation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

TextureGAN: Controlling Deep Image Synthesis With Texture Patches.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
SkipNet: Learning Dynamic Routing in Convolutional Networks.
CoRR, 2017

Deep Layer Aggregation.
CoRR, 2017

TextureGAN: Controlling Deep Image Synthesis with Texture Patches.
CoRR, 2017

Dilated Residual Networks.
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.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Semantic Scene Completion from a Single Depth Image.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Scribbler: Controlling Deep Image Synthesis with Sketch and Color.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Interactive 3D Modeling with a Generative Adversarial Network.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Automatic triage for a photo series.
ACM Trans. Graph., 2016

Multi-Scale Context Aggregation by Dilated Convolutions.
Proceedings of the 4th International Conference on Learning Representations, 2016

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.
CoRR, 2016


2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.
CoRR, 2015

ShapeNet: An Information-Rich 3D Model Repository.
CoRR, 2015

Semantic alignment of LiDAR data at city scale.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D ShapeNets: A deep representation for volumetric shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
3D Reconstruction from Accidental Motion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
HelpingHand: example-based stroke stylization.
ACM Trans. Graph., 2012


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