Fisher Yu
#160,033
Most Influential Person Now
Fisher Yu's AcademicInfluence.com Rankings
Fisher Yucomputer-science Degrees
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

Download Badge
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
Similar Degrees You Can Earn
Why Is Fisher Yu Influential?
(Suggest an Edit or Addition)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)
This paper list is powered by the following services:
What Schools Are Affiliated With Fisher Yu?
Fisher Yu is affiliated with the following schools: