b'Deva Ramanan'

research

∙ 05/12/2023

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

The open road poses many challenges to autonomous perception, including ...

0 Aboli Marathe, et al. ∙

research

∙ 05/10/2023

Reconstructing Animatable Categories from Videos

Building animatable 3D models is challenging due to the need for 3D scan...

0 Gengshan Yang, et al. ∙

research

∙ 05/10/2023

Joint Metrics Matter: A Better Standard for Trajectory Forecasting

Multi-modal trajectory forecasting methods commonly evaluate using singl...

0 Erica Weng, et al. ∙

research

∙ 05/08/2023

RelPose++: Recovering 6D Poses from Sparse-view Observations

We address the task of estimating 6D camera poses from sparse-view image...

1 Amy Lin, et al. ∙

research

∙ 04/27/2023

SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos

We present SLoMo: a first-of-its-kind framework for transferring skilled...

0 John Z. Zhang, et al. ∙

research

∙ 04/24/2023

Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis

We explore the task of embodied view synthesis from monocular videos of ...

0 Chonghyuk Song, et al. ∙

research

∙ 04/04/2023

Re-Evaluating LiDAR Scene Flow for Autonomous Driving

Current methods for self-supervised LiDAR scene flow estimation work poo...

0 Nathaniel Chodosh, et al. ∙

research

∙ 03/27/2023

Learning to Zoom and Unzoom

Many perception systems in mobile computing, autonomous navigation, and ...

0 Chittesh Thavamani, et al. ∙

research

∙ 03/25/2023

SUDS: Scalable Urban Dynamic Scenes

We extend neural radiance fields (NeRFs) to dynamic large-scale urban sc...

0 Haithem Turki, et al. ∙

research

∙ 02/25/2023

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting

Predicting how the world can evolve in the future is crucial for motion ...

0 Tarasha Khurana, et al. ∙

research

∙ 02/16/2023

3D-aware Conditional Image Synthesis

We propose pix2pix3D, a 3D-aware conditional generative model for contro...

0 Kangle Deng, et al. ∙

research

∙ 01/16/2023

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models

The ability to quickly learn a new task with minimal instruction - known...

0 Zhiqiu Lin, et al. ∙

research

∙ 01/10/2023

Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images

Self-driving vehicles rely on urban street maps for autonomous navigatio...

0 Xindi Wu, et al. ∙

research

∙ 01/06/2023

TarViS: A Unified Approach for Target-based Video Segmentation

The general domain of video segmentation is currently fragmented into di...

9 Ali Athar, et al. ∙

research

∙ 01/02/2023

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

We introduce Argoverse 2 (AV2) - a collection of three datasets for perc...

0 Benjamin Wilson, et al. ∙

research

∙ 11/25/2022

Far3Det: Towards Far-Field 3D Detection

We focus on the task of far-field 3D detection (Far3Det) of objects beyo...

0 Shubham Gupta, et al. ∙

research

∙ 11/16/2022

Towards Long-Tailed 3D Detection

Contemporary autonomous vehicle (AV) benchmarks have advanced techniques...

0 Neehar Peri, et al. ∙

research

∙ 10/19/2022

Learning to Discover and Detect Objects

We tackle the problem of novel class discovery, detection, and localizat...

0 Vladimir Fomenko, et al. ∙

research

∙ 10/10/2022

Learning with an Evolving Class Ontology

Lifelong learners must recognize concept vocabularies that evolve over t...

0 Zhiqiu Lin, et al. ∙

research

∙ 10/04/2022

Dfferentiable Raycasting for Self-supervised Occupancy Forecasting

Motion planning for safe autonomous driving requires learning how the en...

0 Tarasha Khurana, et al. ∙

research

∙ 09/25/2022

BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video

Multiple existing benchmarks involve tracking and segmenting objects in ...

18 Ali Athar, et al. ∙

research

∙ 08/11/2022

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild

We describe a data-driven method for inferring the camera viewpoints giv...

35 Jason Y. Zhang, et al. ∙

research

∙ 06/01/2022

Differentiable Soft-Masked Attention

Transformers have become prevalent in computer vision due to their perfo...

4 Ali Athar, et al. ∙

research

∙ 05/22/2022

Robust Modeling and Controls for Racing on the Edge

Race cars are routinely driven to the edge of their handling limits in d...

0 Joshua Spisak, et al. ∙

research

∙ 03/30/2022

Forecasting from LiDAR via Future Object Detection

Object detection and forecasting are fundamental components of embodied ...

0 Neehar Peri, et al. ∙

research

∙ 03/27/2022

Long-Tailed Recognition via Weight Balancing

In the real open world, data tends to follow long-tailed class distribut...

0 Shaden Alshammari, et al. ∙

research

∙ 01/17/2022

The CLEAR Benchmark: Continual LEArning on Real-World Imagery

Continual learning (CL) is widely regarded as crucial challenge for life...

5 Zhiqiu Lin, et al. ∙

research

∙ 12/23/2021

BANMo: Building Animatable 3D Neural Models from Many Casual Videos

Prior work for articulated 3D shape reconstruction often relies on speci...

0 Gengshan Yang, et al. ∙

research

∙ 12/20/2021

Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs

We use neural radiance fields (NeRFs) to build interactive 3D environmen...

0 Haithem Turki, et al. ∙

research

∙ 12/16/2021

HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images

Existing state-of-the-art methods for Video Object Segmentation (VOS) le...

34 Ali Athar, et al. ∙

research

∙ 10/14/2021

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

Recent history has seen a tremendous growth of work exploring implicit r...

0 Jason Y. Zhang, et al. ∙

research

∙ 09/13/2021

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories

For machine learning models trained with limited labeled training data, ...

0 Fait Poms, et al. ∙

research

∙ 08/27/2021

FOVEA: Foveated Image Magnification for Autonomous Navigation

Efficient processing of high-resolution video streams is safety-critical...

1 Chittesh Thavamani, et al. ∙

research

∙ 07/06/2021

Depth-supervised NeRF: Fewer Views and Faster Training for Free

One common failure mode of Neural Radiance Field (NeRF) models is fittin...

16 Kangle Deng, et al. ∙

research

∙ 05/06/2021

LASR: Learning Articulated Shape Reconstruction from a Monocular Video

Remarkable progress has been made in 3D reconstruction of rigid structur...

2 Gengshan Yang, et al. ∙

research

∙ 04/07/2021

Streaming Self-Training via Domain-Agnostic Unlabeled Images

We present streaming self-training (SST) that aims to democratize the pr...

2 Zhiqiu Lin, et al. ∙

research

∙ 04/07/2021

OpenGAN: Open-Set Recognition via Open Data Generation

Real-world machine learning systems need to analyze novel testing data t...

20 Shu Kong, et al. ∙

research

∙ 04/07/2021

Multimodal Object Detection via Bayesian Fusion

Object detection with multimodal inputs can improve many safety-critical...

0 Yi-Ting Chen, et al. ∙

research

∙ 03/31/2021

Video Exploration via Video-Specific Autoencoders

We present simple video-specific autoencoders that enables human-control...

8 Kevin Wang, et al. ∙

research

∙ 02/01/2021

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

By design, average precision (AP) for object detection aims to treat all...

6 Achal Dave, et al. ∙

research

∙ 01/11/2021

Learning to Segment Rigid Motions from Two Frames

Appearance-based detectors achieve remarkable performance on common scen...

5 Gengshan Yang, et al. ∙

research

∙ 12/15/2020

Detecting Invisible People

Monocular object detection and tracking have improved drastically in rec...

0 Tarasha Khurana, et al. ∙

research

∙ 08/28/2020

Background Splitting: Finding Rare Classes in a Sea of Background

We focus on the real-world problem of training accurate deep models for ...

0 Ravi Teja Mullapudi, et al. ∙

research

∙ 08/24/2020

What-If Motion Prediction for Autonomous Driving

Forecasting the long-term future motion of road actors is a core challen...

0 Siddhesh Khandelwal, et al. ∙

research

∙ 07/30/2020

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

We present a method that infers spatial arrangements and shapes of human...

12 Jason Y. Zhang, et al. ∙

research

∙ 05/27/2020

4D Visualization of Dynamic Events from Unconstrained Multi-View Videos

We present a data-driven approach for 4D space-time visualization of dyn...

7 Aayush Bansal, et al. ∙

research

∙ 05/21/2020

Towards Streaming Image Understanding

Embodied perception refers to the ability of an autonomous agent to perc...

0 Mengtian Li, et al. ∙

research

∙ 05/20/2020

TAO: A Large-Scale Benchmark for Tracking Any Object

For many years, multi-object tracking benchmarks have focused on a handf...

18 Achal Dave, et al. ∙

research

∙ 03/31/2020

Learning Generative Models of Tissue Organization with Supervised GANs

A key step in understanding the spatial organization of cells and tissue...

0 Ligong Han, et al. ∙

research

∙ 01/13/2020

Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders

We present an unsupervised approach that enables us to convert the speec...

6 Kangle Deng, et al. ∙

Deva Ramanan

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