Larry S. Davis

research

∙ 03/25/2023

FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views

We present FlexNeRF, a method for photorealistic freeviewpoint rendering...

6 Vinoj Jayasundara, et al. ∙

research

∙ 12/12/2022

Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection

Online media data, in the forms of images and videos, are becoming mains...

0 Junke Wang, et al. ∙

research

∙ 08/03/2022

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation

Text-VQA aims at answering questions that require understanding the text...

5 Jun Wang, et al. ∙

research

∙ 12/08/2021

InvGAN: Invertible GANs

Generation of photo-realistic images, semantic editing and representatio...

0 Partha Ghosh, et al. ∙

research

∙ 06/01/2021

Rethinking Pseudo Labels for Semi-Supervised Object Detection

Recent advances in semi-supervised object detection (SSOD) are largely d...

0 Hengduo Li, et al. ∙

research

∙ 05/13/2021

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

We introduce DiscoBox, a novel framework that jointly learns instance se...

8 Shiyi Lan, et al. ∙

research

∙ 04/29/2021

Learned Spatial Representations for Few-shot Talking-Head Synthesis

We propose a novel approach for few-shot talking-head synthesis. While r...

0 Moustafa Meshry, et al. ∙

research

∙ 04/14/2021

StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis

We propose a novel approach for multi-modal Image-to-image (I2I) transla...

0 Moustafa Meshry, et al. ∙

research

∙ 03/25/2021

THAT: Two Head Adversarial Training for Improving Robustness at Scale

Many variants of adversarial training have been proposed, with most rese...

0 Zuxuan Wu, et al. ∙

research

∙ 02/10/2021

Scale Normalized Image Pyramids with AutoFocus for Object Detection

We present an efficient foveal framework to perform object detection. A ...

0 Bharat Singh, et al. ∙

research

∙ 01/26/2021

Deep Video Inpainting Detection

This paper studies video inpainting detection, which localizes an inpain...

0 Peng Zhou, et al. ∙

research

∙ 12/29/2020

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition

3D convolutional networks are prevalent for video recognition. While ach...

17 Hengduo Li, et al. ∙

research

∙ 08/28/2020

All About Knowledge Graphs for Actions

Current action recognition systems require large amounts of training dat...

21 Pallabi Ghosh, et al. ∙

research

∙ 07/16/2020

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Real-time 3D object detection is crucial for autonomous cars. Achieving ...

6 Jun Wang, et al. ∙

research

∙ 04/02/2020

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

We propose DOPS, a fast single-stage 3D object detection method for LIDA...

0 Mahyar Najibi, et al. ∙

research

∙ 03/26/2020

SaccadeNet: A Fast and Accurate Object Detector

Object detection is an essential step towards holistic scene understandi...

0 Shiyi Lan, et al. ∙

research

∙ 03/25/2020

DeepStrip: High Resolution Boundary Refinement

In this paper, we target refining the boundaries in high resolution imag...

4 Peng Zhou, et al. ∙

research

∙ 01/21/2020

Deep Depth Prior for Multi-View Stereo

It was recently shown that the structure of convolutional neural network...

10 Pallabi Ghosh, et al. ∙

research

∙ 12/30/2019

Recognizing Instagram Filtered Images with Feature De-stylization

Deep neural networks have been shown to suffer from poor generalization ...

22 Zhe Wu, et al. ∙

research

∙ 12/19/2019

Fashion Outfit Complementary Item Retrieval

Complementary fashion item recommendation is critical for fashion outfit...

0 Yen-Liang Lin, et al. ∙

research

∙ 12/11/2019

Learning from Noisy Anchors for One-stage Object Detection

State-of-the-art object detectors rely on regressing and classifying an ...

12 Hengduo Li, et al. ∙

research

∙ 12/03/2019

LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition

This paper presents LiteEval, a simple yet effective coarse-to-fine fram...

9 Zuxuan Wu, et al. ∙

research

∙ 10/16/2019

Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost

Active learning (AL) integrates data labeling and model training to mini...

28 Mingfei Gao, et al. ∙

research

∙ 09/10/2019

Cross-X Learning for Fine-Grained Visual Categorization

Recognizing objects from subcategories with very subtle differences rema...

9 Wei Luo, et al. ∙

research

∙ 09/02/2019

HiCoRe: Visual Hierarchical Context-Reasoning

Reasoning about images/objects and their hierarchical interactions is a ...

0 Pedro H. Bugatti, et al. ∙

research

∙ 08/31/2019

WSLLN: Weakly Supervised Natural Language Localization Networks

We propose weakly supervised language localization networks (WSLLN) to d...

24 Mingfei Gao, et al. ∙

research

∙ 06/02/2019

Truncated Cauchy Non-negative Matrix Factorization

Non-negative matrix factorization (NMF) minimizes the Euclidean distance...

0 Naiyang Guan, et al. ∙

research

∙ 05/28/2019

An Analysis of Object Embeddings for Image Retrieval

We present an analysis of embeddings extracted from different pre-traine...

0 Bor-Chun Chen, et al. ∙

research

∙ 04/29/2019

Adversarial Training for Free!

Adversarial training, in which a network is trained on adversarial examp...

0 Ali Shafahi, et al. ∙

research

∙ 04/12/2019

ACE: Adapting to Changing Environments for Semantic Segmentation

Deep neural networks exhibit exceptional accuracy when they are trained ...

0 Zuxuan Wu, et al. ∙

research

∙ 04/11/2019

An Analysis of Pre-Training on Object Detection

We provide a detailed analysis of convolutional neural networks which ar...

12 Hengduo Li, et al. ∙

research

∙ 04/08/2019

Referring to Objects in Videos using Spatio-Temporal Identifying Descriptions

This paper presents a new task, the grounding of spatio-temporal identif...

0 Peratham Wiriyathammabhum, et al. ∙

research

∙ 04/03/2019

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning

Incremental learning targets at achieving good performance on new catego...

0 Peng Zhou, et al. ∙

research

∙ 03/23/2019

StartNet: Online Detection of Action Start in Untrimmed Videos

We propose StartNet to address Online Detection of Action Start (ODAS) w...

2 Mingfei Gao, et al. ∙

research

∙ 02/04/2019

Compatible and Diverse Fashion Image Inpainting

Visual compatibility is critical for fashion analysis, yet is missing in...

0 Xintong Han, et al. ∙

research

∙ 12/14/2018

TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition

We present Temporal Aggregation Network (TAN) which decomposes 3D convol...

0 Xiyang Dai, et al. ∙

research

∙ 12/13/2018

FA-RPN: Floating Region Proposals for Face Detection

We propose a novel approach for generating region proposals for performi...

0 Mahyar Najibi, et al. ∙

research

∙ 12/04/2018

AutoFocus: Efficient Multi-Scale Inference

This paper describes AutoFocus, an efficient multi-scale inference algor...

4 Mahyar Najibi, et al. ∙

research

∙ 11/30/2018

MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

This research strives for natural language moment retrieval in long, unt...

0 Da Zhang, et al. ∙

research

∙ 11/29/2018

AdaFrame: Adaptive Frame Selection for Fast Video Recognition

We present AdaFrame, a framework that adaptively selects relevant frames...

4 Zuxuan Wu, et al. ∙

research

∙ 11/27/2018

Universal Adversarial Training

Standard adversarial attacks change the predicted class label of an imag...

0 Ali Shafahi, et al. ∙

research

∙ 11/24/2018

Generate, Segment and Replace: Towards Generic Manipulation Segmentation

It has been witnessed an emerging demand for image manipulation segmenta...

0 Peng Zhou, et al. ∙

research

∙ 11/19/2018

Explicit Bias Discovery in Visual Question Answering Models

Researchers have observed that Visual Question Answering (VQA) models te...

6 Varun Manjunatha, et al. ∙

research

∙ 11/19/2018

Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN

Recent advances in deep convolutional neural networks (CNNs) have motiva...

8 Shiyi Lan, et al. ∙

research

∙ 11/18/2018

Temporal Recurrent Networks for Online Action Detection

Most work on temporal action detection is formulated in an offline manne...

0 Mingze Xu, et al. ∙

research

∙ 10/19/2018

Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

Existing 3D pose datasets of object categories are limited to generic ob...

0 Yaming Wang, et al. ∙

research

∙ 06/18/2018

Soft Sampling for Robust Object Detection

We study the robustness of object detection under the presence of missin...

0 Zhe Wu, et al. ∙

research

∙ 06/12/2018

3D Pose Estimation for Fine-Grained Object Categories

Existing object pose estimation datasets are related to generic object t...

2 Yaming Wang, et al. ∙

research

∙ 05/23/2018

SNIPER: Efficient Multi-Scale Training

We present SNIPER, an algorithm for performing efficient multi-scale tra...

0 Bharat Singh, et al. ∙

research

∙ 05/13/2018

Learning Rich Features for Image Manipulation Detection

Image manipulation detection is different from traditional semantic obje...

0 Peng Zhou, et al. ∙

Larry S. Davis

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