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03/29/2023
MaLP: Manipulation Localization Using a Proactive Scheme
Advancements in the generation quality of various Generative Models (GMs...
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12/12/2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Spurious correlations in training data often lead to robustness issues s...
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12/09/2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Machine learning models have been found to learn shortcuts – unintended ...
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10/24/2022
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction
Many online action prediction models observe complete frames to locate a...
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10/13/2022
Task Grouping for Multilingual Text Recognition
Most existing OCR methods focus on alphanumeric characters due to the po...
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04/12/2022
Few-shot Learning with Noisy Labels
Few-shot learning (FSL) methods typically assume clean support sets with...
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03/29/2022
Proactive Image Manipulation Detection
Image manipulation detection algorithms are often trained to discriminat...
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02/25/2022
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment
We present Face Swapping GAN (FSGAN) for face swapping and reenactment. ...
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10/18/2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Detecting out-of-distribution (OOD) samples is vital for developing mach...
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06/15/2021
TextStyleBrush: Transfer of Text Aesthetics from a Single Example
We present a novel approach for disentangling the content of a text imag...
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06/15/2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
State-of-the-art (SOTA) Generative Models (GMs) can synthesize photo-rea...
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05/12/2021
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text
A crucial component for the scene text based reasoning required for Text...
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03/29/2021
A Multiplexed Network for End-to-End, Multilingual OCR
Recent advances in OCR have shown that an end-to-end (E2E) training pipe...
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12/21/2020
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
We present a novel, real-time, semantic segmentation network in which th...
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12/14/2020
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
We propose real-time, six degrees of freedom (6DoF), 3D face pose estima...
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08/27/2020
DeepFake Detection Based on the Discrepancy Between the Face and its Context
We propose a method for detecting face swapping and other identity manip...
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07/18/2020
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
Recent end-to-end trainable methods for scene text spotting, integrating...
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02/27/2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations
We introduce a new measure to evaluate the transferability of representa...
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09/25/2019
Balancing Specialization, Generalization, and Compression for Detection and Tracking
We propose a method for specializing deep detectors and trackers to rest...
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08/21/2019
Transferability and Hardness of Supervised Classification Tasks
We propose a novel approach for estimating the difficulty and transferab...
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08/16/2019
FSGAN: Subject Agnostic Face Swapping and Reenactment
We present Face Swapping GAN (FSGAN) for face swapping and reenactment. ...
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08/02/2019
Toward Understanding Catastrophic Forgetting in Continual Learning
We study the relationship between catastrophic forgetting and properties...
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05/01/2019
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
The field of self-supervised monocular depth estimation has seen huge ad...
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04/01/2019
Precise Detection in Densely Packed Scenes
Man-made scenes can be densely packed, containing numerous objects, ofte...
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02/02/2018
ExpNet: Landmark-Free, Deep, 3D Facial Expressions
We describe a deep learning based method for estimating 3D facial expres...
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12/14/2017
Extreme 3D Face Reconstruction: Looking Past Occlusions
Existing single view, 3D face reconstruction methods can produce beautif...
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08/24/2017
FacePoseNet: Making a Case for Landmark-Free Face Alignment
We show how a simple convolutional neural network (CNN) can be trained t...
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12/21/2016
Temporal Tessellation: A Unified Approach for Video Analysis
We present a general approach to video understanding, inspired by semant...
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12/15/2016
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
The 3D shapes of faces are well known to be discriminative. Yet despite ...
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09/13/2016
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better
Accuracy, descriptor size, and the time required for extraction and matc...
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07/06/2016
Pooling Faces: Template based Face Recognition with Pooled Face Images
We propose a novel approach to template based face recognition. Our dual...
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03/23/2016
Face Recognition Using Deep Multi-Pose Representations
We introduce our method and system for face recognition using multiple p...
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03/23/2016
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
Face recognition capabilities have recently made extraordinary leaps. Th...
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11/12/2015
Facial Landmark Detection with Tweaked Convolutional Neural Networks
We present a novel convolutional neural network (CNN) design for facial ...
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10/05/2015
GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection
The 2D Least Median of Squares (LMS) is a popular tool in robust regress...
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06/10/2015
Wide baseline stereo matching with convex bounded-distortion constraints
Finding correspondences in wide baseline setups is a challenging problem...
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01/15/2015
LATCH: Learned Arrangements of Three Patch Codes
We present a novel means of describing local image appearances using bin...
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11/28/2014
Effective Face Frontalization in Unconstrained Images
"Frontalization" is the process of synthesizing frontal facing views of ...
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06/24/2014
Dense Correspondences Across Scenes and Scales
We seek a practical method for establishing dense correspondences betwee...
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04/14/2013
