Fahad Shahbaz Khan
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Computer Science
Fahad Shahbaz Khan's Degrees
- Bachelors Computer Science Stanford University
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(Suggest an Edit or Addition)Fahad Shahbaz Khan'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
- Accurate Scale Estimation for Robust Visual Tracking (2014) (1884)
- ECO: Efficient Convolution Operators for Tracking (2016) (1847)
- Learning Spatially Regularized Correlation Filters for Visual Tracking (2015) (1675)
- Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking (2016) (1532)
- Adaptive Color Attributes for Real-Time Visual Tracking (2014) (1398)
- Discriminative Scale Space Tracking (2016) (953)
- Convolutional Features for Correlation Filter Based Visual Tracking (2015) (851)
- Transformers in Vision: A Survey (2021) (722)
- The Visual Object Tracking VOT2016 Challenge Results (2016) (702)
- ATOM: Accurate Tracking by Overlap Maximization (2018) (648)
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) (582)
- Multi-Stage Progressive Image Restoration (2021) (466)
- The Visual Object Tracking VOT2017 Challenge Results (2017) (424)
- Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking (2016) (369)
- The Visual Object Tracking VOT2015 Challenge Results (2018) (356)
- Unveiling the Power of Deep Tracking (2018) (341)
- The Visual Object Tracking VOT2013 Challenge Results (2013) (333)
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) (320)
- Color attributes for object detection (2012) (308)
- Restormer: Efficient Transformer for High-Resolution Image Restoration (2021) (289)
- The Visual Object Tracking VOT2014 challenge results (2014) (266)
- Intriguing Properties of Vision Transformers (2021) (258)
- Learning Enriched Features for Fast Image Restoration and Enhancement (2020) (246)
- Deep Projective 3D Semantic Segmentation (2017) (218)
- Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video (2018) (203)
- Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification (2017) (185)
- Learning the Model Update for Siamese Trackers (2019) (180)
- Towards Open World Object Detection (2021) (179)
- CycleISP: Real Image Restoration via Improved Data Synthesis (2020) (172)
- D2Det: Towards High Quality Object Detection and Instance Segmentation (2020) (161)
- Mask-Guided Attention Network for Occluded Pedestrian Detection (2019) (140)
- Top-down color attention for object recognition (2009) (139)
- Confidence Propagation through CNNs for Guided Sparse Depth Regression (2018) (136)
- The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results (2015) (132)
- A Generative Appearance Model for End-To-End Video Object Segmentation (2018) (129)
- Discriminative Color Descriptors (2013) (129)
- Modulating Shape Features by Color Attention for Object Recognition (2012) (128)
- iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images (2019) (125)
- Learning Human-Object Interaction Detection Using Interaction Points (2020) (124)
- Painting-91: a large scale database for computational painting categorization (2014) (123)
- Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification (2020) (120)
- MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images (2019) (119)
- SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (2020) (118)
- Coloring Action Recognition in Still Images (2013) (117)
- 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization (2019) (113)
- A Self-supervised Approach for Adversarial Robustness (2020) (110)
- iTAML: An Incremental Task-Agnostic Meta-learning Approach (2020) (104)
- Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition (2019) (97)
- NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results (2019) (96)
- Synthetic Data Generation for End-to-End Thermal Infrared Tracking (2018) (93)
- Anomaly Detection in Video via Self-Supervised and Multi-Task Learning (2020) (93)
- Learning Fast and Robust Target Models for Video Object Segmentation (2020) (90)
- Propagating Confidences through CNNs for Sparse Data Regression (2018) (90)
- Deep Contextual Attention for Human-Object Interaction Detection (2019) (89)
- Object Counting and Instance Segmentation With Image-Level Supervision (2019) (88)
- Deep motion features for visual tracking (2016) (84)
- Cross-Domain Transferability of Adversarial Perturbations (2019) (81)
- Transformers in Medical Imaging: A Survey (2022) (81)
- Random Path Selection for Continual Learning (2019) (78)
- Learning Rich Features at High-Speed for Single-Shot Object Detection (2019) (77)
- NTIRE 2019 Challenge on Real Image Denoising: Methods and Results (2019) (75)
- Efficient Featurized Image Pyramid Network for Single Shot Detector (2019) (75)
- Semantic Pyramids for Gender and Action Recognition (2014) (74)
- The Visual Object Tracking VOT 2016 Challenge Results (2018) (73)
- Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes (2019) (64)
- Discriminative compact pyramids for object and scene recognition (2012) (64)
- Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning (2021) (62)
- Portmanteau Vocabularies for Multi-Cue Image Representation (2011) (59)
- Random Path Selection for Incremental Learning (2019) (58)
- Enriched Feature Guided Refinement Network for Object Detection (2019) (57)
- Compact color-texture description for texture classification (2015) (53)
- Recognizing Actions Through Action-Specific Person Detection (2015) (51)
- Multi-Modal Fusion for End-to-End RGB-T Tracking (2019) (45)
- Image Colorization: A Survey and Dataset (2020) (45)
- The Impact of Color on Bag-of-Words Based Object Recognition (2010) (45)
- The Ninth Visual Object Tracking VOT2021 Challenge Results (2021) (45)
- A Probabilistic Framework for Color-Based Point Set Registration (2016) (43)
- On Improving Adversarial Transferability of Vision Transformers (2021) (42)
- Learning to Fuse Asymmetric Feature Maps in Siamese Trackers (2020) (39)
- PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection (2020) (39)
- Density Adaptive Point Set Registration (2018) (38)
- Self-supervised Knowledge Distillation for Few-shot Learning (2020) (38)
- NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results (2022) (38)
- From Handcrafted to Deep Features for Pedestrian Detection: A Survey (2020) (36)
- The Visual Object Tracking VOT 2017 challenge results (2018) (36)
- A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video (2020) (35)
- Incremental Object Detection via Meta-Learning (2020) (34)
- NTIRE 2019 Challenge on Image Enhancement: Methods and Results (2019) (32)
- AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) (32)
- Scale coding bag of deep features for human attribute and action recognition (2016) (30)
- OW-DETR: Open-world Detection Transformer (2021) (30)
- Deep Projective 3 D Semantic Segmentation (2017) (29)
- Coloring Channel Representations for Visual Tracking (2015) (29)
- Semi-Supervised Learning for Few-Shot Image-to-Image Translation (2020) (28)
- Airline ticket price and demand prediction: A survey (2019) (28)
- Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection (2021) (28)
- NTIRE 2019 Challenge on Video Deblurring: Methods and Results (2019) (28)
- Self-supervised Video Transformer (2021) (28)
- NTIRE 2021 NonHomogeneous Dehazing Challenge Report (2021) (27)
- Combining Holistic and Part-based Deep Representations for Computational Painting Categorization (2016) (26)
- NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results (2021) (25)
- Deep motion and appearance cues for visual tracking (2019) (25)
- Fusing Color and Shape for Bag-of-Words Based Object Recognition (2013) (23)
- Distilled Siamese Networks for Visual Tracking (2019) (23)
- On Generating Transferable Targeted Perturbations (2021) (23)
- Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook (2021) (23)
- Synthesizing the Unseen for Zero-shot Object Detection (2020) (23)
- Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection (2022) (23)
- D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations (2020) (23)
- A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems (2014) (22)
- Beyond Eleven Color Names for Image Understanding (2018) (21)
- UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection (2021) (21)
- EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications (2022) (21)
- AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces (2019) (19)
- Learning Digital Camera Pipeline for Extreme Low-Light Imaging (2019) (19)
- MaPLe: Multi-modal Prompt Learning (2022) (19)
- Orthogonal Projection Loss (2021) (19)
- Count- and Similarity-Aware R-CNN for Pedestrian Detection (2020) (18)
- CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation (2021) (18)
- An Adaptive Random Path Selection Approach for Incremental Learning. (2019) (17)
- Handwriting Transformers (2021) (16)
- DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking (2017) (16)
- Spatio-temporal Relation Modeling for Few-shot Action Recognition (2021) (15)
- Scale Coding Bag-of-Words for Action Recognition (2014) (15)
- Discriminative Region-based Multi-Label Zero-Shot Learning (2021) (14)
- Visual Attention Methods in Deep Learning: An In-Depth Survey (2022) (13)
- Generative Multi-Label Zero-Shot Learning (2021) (13)
- Class-Agnostic Object Detection with Multi-modal Transformer (2021) (13)
- Any-Shot Object Detection (2020) (13)
- An Overview of Color Name Applications in Computer Vision (2015) (13)
- GPS‐level accurate camera localization with HorizonNet (2019) (12)
- Energy-based Latent Aligner for Incremental Learning (2022) (12)
- Rich Semantics Improve Few-shot Learning (2021) (11)
- Deep Semantic Pyramids for Human Attributes and Action Recognition (2015) (11)
- Evaluating the Impact of Color on Texture Recognition (2013) (11)
- Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection (2020) (10)
- Fixing Localization Errors to Improve Image Classification (2020) (10)
- Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV (2016) (9)
- TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition (2017) (9)
- Transformers in Remote Sensing: A Survey (2022) (8)
- DoodleFormer: Creative Sketch Drawing with Transformers (2021) (8)
- CLIP model is an Efficient Continual Learner (2022) (7)
- Multi-modal Transformers Excel at Class-agnostic Object Detection (2021) (7)
- SepTr: Separable Transformer for Audio Spectrogram Processing (2022) (7)
- Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection (2022) (7)
- PSTR: End-to-End One-Step Person Search With Transformers (2022) (7)
- Towards Partial Supervision for Generic Object Counting in Natural Scenes (2019) (7)
- 3D Vision with Transformers: A Survey (2022) (7)
- Aligning the dissimilar: A probabilistic method for feature-based point set registration (2016) (6)
- Dense Gaussian Processes for Few-Shot Segmentation (2021) (6)
- Ellipse Detection for Visual Cyclists Analysis "In the Wild" (2017) (6)
- Adaptive Feature Consolidation Network for Burst Super-Resolution (2022) (5)
- OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning (2022) (5)
- Compact Deep Color Features for Remote Sensing Scene Classification (2021) (5)
- Stylized Adversarial Defense (2020) (5)
- Meta-learning the Learning Trends Shared Across Tasks (2020) (5)
- Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer (2022) (4)
- SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection (2022) (4)
- Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution (2022) (4)
- Discriminative Online Learning for Fast Video Object Segmentation (2019) (4)
- A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video (2020) (4)
- HorizonNet for visual terrain navigation (2018) (4)
- Mode-Guided Feature Augmentation for Domain Generalization (2021) (3)
- Boosting Adversarial Transferability using Dynamic Cues (2023) (3)
- Countering Bias in Tracking Evaluations (2018) (3)
- Person Image Synthesis via Denoising Diffusion Model (2022) (3)
- UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation (2022) (3)
- An Investigation into Whitening Loss for Self-supervised Learning (2022) (3)
- AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility (2022) (3)
- Deep Gaussian Processes for Few-Shot Segmentation (2021) (2)
- SipMaskv2: Enhanced Fast Image and Video Instance Segmentation (2023) (2)
- COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains (2021) (2)
- Low Light Image Enhancement via Global and Local Context Modeling (2021) (2)
- Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context (2020) (2)
- Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains (2021) (2)
- Fine-tuned CLIP Models are Efficient Video Learners (2022) (2)
- On the Robustness of 3D Object Detectors (2022) (2)
- MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains (2021) (2)
- Self-Distilled Vision Transformer for Domain Generalization (2022) (2)
- DCCO: Towards Deformable Continuous Convolution Operators (2017) (2)
- Combining Local and Global Models for Robust Re-detection (2018) (2)
- PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search (2022) (1)
- Supplementary Material ECO : Efficient Convolution Operators for Tracking (2017) (1)
- 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers (2023) (1)
- Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations (2022) (1)
- Coloring Action Recognition in Still Images (2013) (1)
- PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery (2022) (1)
- Two-Stream Part-Based Deep Representation for Human Attribute Recognition (2018) (1)
- Top-Down Deep Appearance Attention for Action Recognition (2017) (1)
- Guidance Through Surrogate: Towards a Generic Diagnostic Attack (2022) (1)
- StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing (2023) (0)
- Supplementary Material: A Self-supervised Approach for Adversarial Robustness (2020) (0)
- $\textrm{D}^3\textrm{Former}$: Debiased Dual Distilled Transformer for Incremental Learning (2022) (0)
- CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation (2021) (0)
- Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement (2023) (0)
- CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection (2022) (0)
- Generative Multiplane Neural Radiance for 3D-Aware Image Generation (2023) (0)
- Supplementary for Anomaly Detection in Video via Self-Supervised and Multi-Task Learning (2021) (0)
- Coloring bag-of-words based image representations (2011) (0)
- Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation (2022) (0)
- Mining GANs for knowledge transfer to small domains (2019) (0)
- SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications (2023) (0)
- Remote Sensing Change Detection With Transformers Trained from Scratch (2023) (0)
- Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging (2022) (0)
- Burstormer: Burst Image Restoration and Enhancement Transformer (2023) (0)
- Supplementary Material Learning the Model Update for Siamese Trackers (2019) (0)
- Scale coding bag of deep features for human attribute and action recognition (2017) (0)
- SAT: Scale-Augmented Transformer for Person Search (2023) (0)
- On the Optimization of Advanced DCF-Trackers (2018) (0)
- 19th Scandinavian Conference on Image Analysis (SCIA 2015), Copenhagen, Denmark, June 2015 (2015) (0)
- D3Former: Debiased Dual Distilled Transformer for Incremental Learning (2022) (0)
- Video Instance Segmentation in an Open-World (2023) (0)
- Supplementary Material ATOM : Accurate Tracking by Overlap Maximization (2019) (0)
- Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection (2023) (0)
- OW-DETR: Open-world Detection Transformer Supplementary (2022) (0)
- Salient Mask-Guided Vision Transformer for Fine-Grained Classification (2023) (0)
- Aligning the Dissimilar: A Probabilistic Feature-Based Point Set Registration Approach (2019) (0)
- DoodleFormer: Creative Sketch Drawing with Transformers Supplementary Material (2022) (0)
- Supplementary Material for Learning Fast and Robust Target Models for Video Object Segmentation (2020) (0)
- Modulating Shape Features by Color Attention for Object Recognition (2011) (0)
- Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection (2023) (0)
- Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection (2022) (0)
- Supplementary Material – Burst Image Restoration and Enhancement (2022) (0)
- Multi-stream Convolutional Networks for Indoor Scene Recognition (2019) (0)
- 3D-Aware Multi-Class Image-to-Image Translation with NeRFs (2023) (0)
- Handwriting Transformers Supplementary Material (2021) (0)
- Interactive Visual and Semantic Image Retrieval (2013) (0)
- Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting (2023) (0)
- Multi-scale Feature Aggregation for Crowd Counting (2022) (0)
- Beyond Eleven Color Names for Image Understanding (2017) (0)
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What Schools Are Affiliated With Fahad Shahbaz Khan?
Fahad Shahbaz Khan is affiliated with the following schools: