Fisher Yu

Q: What Schools Are Affiliated With Fisher Yu

Fisher Yu is affiliated with the following schools: ETH Zurich, Princeton University

Fisher Yu's AcademicInfluence.com Rankings

Fisher Yu

Computer Science

#9109

World Rank

#9572

Historical Rank

Algorithms

#366

World Rank

#371

Historical Rank

Artificial Intelligence

#4242

World Rank

#4301

Historical Rank

Database

#6101

World Rank

#6326

Historical Rank

computer-science Degrees

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Computer Science

Fisher Yu's Degrees

PhD Computer Science University of California, Berkeley
Masters Computer Science University of California, Berkeley
Bachelors Computer Science University of California, Berkeley

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Fisher Yu's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Multi-Scale Context Aggregation by Dilated Convolutions (2015) (6690)
3D ShapeNets: A deep representation for volumetric shapes (2014) (3937)
ShapeNet: An Information-Rich 3D Model Repository (2015) (3399)
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop (2015) (1463)
Dilated Residual Networks (2017) (1219)
Semantic Scene Completion from a Single Depth Image (2016) (941)
Deep Layer Aggregation (2017) (904)
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning (2018) (859)
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling (2018) (725)
End-to-End Learning of Driving Models from Large-Scale Video Datasets (2016) (674)
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation (2016) (633)
Scribbler: Controlling Deep Image Synthesis with Sketch and Color (2016) (439)
SkipNet: Learning Dynamic Routing in Convolutional Networks (2017) (436)
Few-Shot Object Detection via Feature Reweighting (2018) (405)
Frustratingly Simple Few-Shot Object Detection (2020) (288)
TextureGAN: Controlling Deep Image Synthesis with Texture Patches (2017) (230)
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup (2018) (216)
RePaint: Inpainting using Denoising Diffusion Probabilistic Models (2022) (198)
Exploring Cross-Image Pixel Contrast for Semantic Segmentation (2021) (197)
Reinforcement Learning from Imperfect Demonstrations (2018) (174)
Hierarchical Discrete Distribution Decomposition for Match Density Estimation (2018) (170)
Joint Monocular 3D Vehicle Detection and Tracking (2018) (146)
Quasi-Dense Similarity Learning for Multiple Object Tracking (2020) (133)
Large-Scale 3D Shape Retrieval from ShapeNet Core55 (2016) (107)
3D Reconstruction from Accidental Motion (2014) (92)
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (2019) (85)
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation (2018) (77)
Interactive 3D Modeling with a Generative Adversarial Network (2017) (77)
Deep Object-Centric Policies for Autonomous Driving (2018) (69)
HelpingHand: example-based stroke stylization (2012) (64)
Disentangling Propagation and Generation for Video Prediction (2018) (62)
Deep Mixture of Experts via Shallow Embedding (2018) (61)
Semantic alignment of LiDAR data at city scale (2015) (59)
Automatic triage for a photo series (2016) (40)
Monocular Quasi-Dense 3D Object Tracking (2021) (37)
A Deep Representation for Volumetric Shape Modeling (2015) (37)
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach (2021) (37)
Transforming Model Prediction for Tracking (2022) (37)
SHREC ’ 17 Track Large-Scale 3 D Shape Retrieval from ShapeNet Core 55 (2016) (35)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation (2021) (34)
Scaling Vision Transformers to 22 Billion Parameters (2023) (27)
Generative Cooperative Learning for Unsupervised Video Anomaly Detection (2022) (24)
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising (2021) (23)
Mask Transfiner for High-Quality Instance Segmentation (2021) (21)
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation (2022) (19)
LiDAR Snowfall Simulation for Robust 3D Object Detection (2022) (18)
On the Practicality of Deterministic Epistemic Uncertainty (2021) (17)
Robust Object Detection via Instance-Level Temporal Cycle Confusion (2021) (14)
Warp Consistency for Unsupervised Learning of Dense Correspondences (2021) (13)
Task-Aware Feature Generation for Zero-Shot Compositional Learning. (2019) (12)
Semantic Predictive Control for Explainable and Efficient Policy Learning (2019) (11)
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences (2022) (9)
Tracking Every Thing in the Wild (2022) (8)
Quasi-Dense Instance Similarity Learning (2020) (8)
SAGA: Stochastic Whole-Body Grasping with Contact (2021) (7)
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution (2021) (7)
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields (2022) (6)
The Tenth Visual Object Tracking VOT2022 Challenge Results (2022) (6)
Video Mask Transfiner for High-Quality Video Instance Segmentation (2022) (5)
HelpingHand (2012) (5)
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion (2022) (5)
Instance-Aware Predictive Navigation in Multi-Agent Environments (2021) (3)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking (2022) (3)
Unifying Flow, Stereo and Depth Estimation (2022) (3)
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing (2022) (3)
Dense Prediction with Attentive Feature Aggregation (2021) (2)
Learning Rich Image Representation with Deep Layer Aggregation (2018) (2)
BiBench: Benchmarking and Analyzing Network Binarization (2023) (2)
Learning Online Multi-Sensor Depth Fusion (2022) (2)
TAFE-Net: Task-Aware Feature Embeddings for Efficient Learning and Inference. (2018) (1)
TADA: Taxonomy Adaptive Domain Adaptation (2021) (1)
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation (2021) (1)
Task-Aware Deep Sampling for Feature Generation (2019) (1)
Mask-Free Video Instance Segmentation (2023) (1)
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts (2022) (1)
Autonomous Vehicle Vision 2021: ICCV Workshop Summary (2021) (1)
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning (2023) (0)
Binary Separation on Heterogeneous Image (2012) (0)
3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers (2022) (0)
T-2 T-1 T Frame Input Image Region Proposals Monocular 3 D Estimation Deep Association Multi-frame Refinement (2018) (0)
Supplementary Material: Quasi-Dense Similarity Learning for Multiple Object Tracking (2021) (0)
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Supplementary Material (2022) (0)
2 . Dilated Residual Networks (2017) (0)
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation — Supplementary Material — (2022) (0)
Composite Learning for Robust and Effective Dense Predictions (2022) (0)
Transforming Model Prediction for Tracking - Supplementary (2022) (0)
Fast Hierarchical Learning for Few-Shot Object Detection (2022) (0)
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction (2023) (0)
Spatio-Temporal Action Detection Under Large Motion (2022) (0)
Mask Transﬁner for High-Quality Instance Segmentation (Supplemental material) (2022) (0)
OVTrack: Open-Vocabulary Multiple Object Tracking (2023) (0)
Uncertainty-Driven Dense Two-View Structure From Motion (2023) (0)
iDisc: Internal Discretization for Monocular Depth Estimation (2023) (0)

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What Schools Are Affiliated With Fisher Yu?

Fisher Yu is affiliated with the following schools:

Fisher Yu's Academic­Influence.com Rankings

Fisher Yu's Degrees

Similar Degrees You Can Earn

Why Is Fisher Yu Influential?

Fisher Yu's Published Works

Published Works

What Schools Are Affiliated With Fisher Yu?

Fisher Yu's AcademicInfluence.com Rankings