Trevor Darrell

verfied profile

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berkeley college

GreenTravelAtlantics

Travel Blog by Darby Hande. Feel Free to Follow my Advice on the United States. Interesting Places and more.

I visit all popular places in the most interesting counties throughout the country. Experience teaches me to write everything down and share whatever I can. If there are any places that you recommend to visit, write to me. I will definitely visit them!

Contact:

e-mail: contact@greentravelantics.com

website: https://greentravelantics.com/

Featured Co-authors

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∙ 06/15/2022

Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022

This technical report describes the SViT approach for the Ego4D Point of...

Elad Ben-Avraham, et al. ∙

∙ 06/13/2022

Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens

Recent action recognition models have achieved impressive results by int...

Elad Ben-Avraham, et al. ∙

∙ 05/19/2022

Voxel-informed Language Grounding

Natural language applied to natural 2D images describes a fundamentally ...

Rodolfo Corona, et al. ∙

∙ 04/28/2022

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

Machine learning has advanced dramatically, narrowing the accuracy gap t...

Spencer Whitehead, et al. ∙

∙ 04/23/2022

Visual Attention Emerges from Recurrent Sparse Reconstruction

Visual attention helps achieve robust perception under noise, corruption...

Baifeng Shi, et al. ∙

∙ 04/21/2022

Contrastive Test-Time Adaptation

Test-time adaptation is a special setting of unsupervised domain adaptat...

Dian Chen, et al. ∙

∙ 04/20/2022

K-LITE: Learning Transferable Visual Models with External Knowledge

Recent state-of-the-art computer vision systems are trained from natural...

Sheng Shen, et al. ∙

∙ 04/18/2022

Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion

We present a framework for modeling interactional communication in dyadi...

Evonne Ng, et al. ∙

∙ 04/12/2022

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Training a referring expression comprehension (ReC) model for a new visu...

Sanjay Subramanian, et al. ∙

∙ 03/19/2022

Teachable Reinforcement Learning via Advice Distillation

Training automated agents to complete complex tasks in interactive envir...

Olivia Watkins, et al. ∙

∙ 03/11/2022

Masked Visual Pre-training for Motor Control

This paper shows that self-supervised visual pre-training from real-worl...

Tete Xiao, et al. ∙

∙ 02/17/2022

On Guiding Visual Attention with Language Specification

While real world challenges typically define visual categories with lang...

Suzanne Petryk, et al. ∙

∙ 01/29/2022

Explaining Reinforcement Learning Policies through Counterfactual Trajectories

In order for humans to confidently decide where to employ RL agents for ...

Julius Frost, et al. ∙

∙ 01/10/2022

A ConvNet for the 2020s

The "Roaring 20s" of visual recognition began with the introduction of V...

Zhuang Liu, et al. ∙

∙ 12/21/2021

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

In today's era of digital misinformation, we are increasingly faced with...

Shruti Agarwal, et al. ∙

∙ 12/16/2021

Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation

Detecting out-of-context media, such as "miscaptioned" images on Twitter...

Giscard Biamby, et al. ∙

∙ 12/03/2021

Learning to Detect Every Thing in an Open World

Many open-world applications require the detection of novel objects, yet...

Kuniaki Saito, et al. ∙

∙ 10/13/2021

Object-Region Video Transformers

Evidence from cognitive psychology suggests that understanding spatio-te...

Roei Herzig, et al. ∙

∙ 09/02/2021

On-target Adaptation

Domain adaptation seeks to mitigate the shift between training on the so...

Dequan Wang, et al. ∙

∙ 08/24/2021

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Unsupervised domain adaptation (UDA) methods can dramatically improve ge...

Kuniaki Saito, et al. ∙

∙ 08/20/2021

Region-level Active Learning for Cluttered Scenes

Active learning for object detection is conventionally achieved by apply...

Michael Laielli, et al. ∙

∙ 07/07/2021

Predicting with Confidence on Unseen Distributions

Recent work has shown that the performance of machine learning models ca...

Devin Guillory, et al. ∙

∙ 07/01/2021

CLIP-It! Language-Guided Video Summarization

A generic video summary is an abridged version of a video that conveys t...

Medhini Narasimhan, et al. ∙

∙ 06/28/2021

Early Convolutions Help Transformers See Better

Vision transformer (ViT) models exhibit substandard optimizability. In p...

Tete Xiao, et al. ∙

∙ 06/08/2021

DETReg: Unsupervised Pretraining with Region Priors for Object Detection

Unsupervised pretraining has recently proven beneficial for computer vis...

Amir Bar, et al. ∙

∙ 06/03/2021

Towards Learning to Play Piano with Dexterous Hands and Touch

The virtuoso plays the piano with passion, poetry and extraordinary tech...

Huazhe Xu, et al. ∙

∙ 05/26/2021

PyTouch: A Machine Learning Library for Touch Processing

With the increased availability of rich tactile sensors, there is an equ...

Mike Lambeta, et al. ∙

∙ 05/18/2021

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks

Adversarial attacks optimize against models to defeat defenses. Existing...

Dequan Wang, et al. ∙

∙ 04/15/2021

Auto-Tuned Sim-to-Real Transfer

Policies trained in simulation often fail when transferred to the real w...

Yuqing Du, et al. ∙

∙ 04/13/2021

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

The threat of online misinformation is hard to overestimate, with advers...

Grace Luo, et al. ∙

∙ 04/06/2021

Strumming to the Beat: Audio-Conditioned Contrastive Video Textures

We introduce a non-parametric approach for infinite video texture synthe...

Medhini Narasimhan, et al. ∙

∙ 04/01/2021

Confidence Adaptive Anytime Pixel-Level Recognition

Anytime inference requires a model to make a progression of predictions ...

Zhuang Liu, et al. ∙

∙ 03/23/2021

Self-Supervised Pretraining Improves Self-Supervised Pretraining

While self-supervised pretraining has proven beneficial for many compute...

Colorado J. Reed, et al. ∙

∙ 01/14/2021

Instance-Aware Predictive Navigation in Multi-Agent Environments

In this work, we aim to achieve efficient end-to-end learning of driving...

Jinkun Cao, et al. ∙

∙ 12/18/2020

Minimax Active Learning

Active learning aims to develop label-efficient algorithms by querying t...

Sayna Ebrahimi, et al. ∙

∙ 11/24/2020

Temporal Action Detection with Multi-level Supervision

Training temporal action detection in videos requires large amounts of l...

Baifeng Shi, et al. ∙

∙ 10/24/2020

Modularity Improves Out-of-Domain Instruction Following

We propose a modular architecture for following natural language instruc...

Rodolfo Corona, et al. ∙

∙ 10/16/2020

Auxiliary Task Reweighting for Minimum-data Learning

Supervised learning requires a large amount of training data, limiting i...

Baifeng Shi, et al. ∙

∙ 10/09/2020

Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

The success of supervised learning hinges on the assumption that the tra...

Bo Li, et al. ∙

∙ 10/04/2020

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting

The goal of continual learning (CL) is to learn a sequence of tasks with...

Sayna Ebrahimi, et al. ∙

∙ 09/16/2020

Evaluating Self-Supervised Pretraining Without Using Labels

A common practice in unsupervised representation learning is to use labe...

Colorado Reed, et al. ∙

∙ 08/22/2020

Identity-Aware Multi-Sentence Video Description

Standard video and movie description tasks abstract away from person ide...

Jae Sung Park, et al. ∙

∙ 08/13/2020

What Should Not Be Contrastive in Contrastive Learning

Recent self-supervised contrastive methods have been able to produce imp...

Tete Xiao, et al. ∙

∙ 07/23/2020

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics

We propose a novel learned deep prior of body motion for 3D hand shape s...

Evonne Ng, et al. ∙

∙ 07/20/2020

Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation

We introduce a learning-based approach for room navigation using semanti...

Medhini Narasimhan, et al. ∙

∙ 07/03/2020

Video Prediction via Example Guidance

In video prediction tasks, one major challenge is to capture the multi-m...

Jingwei Xu, et al. ∙

∙ 06/27/2020

Compositional Video Synthesis with Action Graphs

Videos of actions are complex spatio-temporal signals, containing rich c...

Amir Bar, et al. ∙

∙ 06/18/2020

Fully Test-time Adaptation by Entropy Minimization

Faced with new and different data during testing, a model must adapt its...

Dequan Wang, et al. ∙

∙ 06/11/2020

Quasi-Dense Instance Similarity Learning

Similarity metrics for instances have drawn much attention, due to their...

Jiangmiao Pang, et al. ∙

∙ 06/09/2020

Reducing Class Collapse in Metric Learning with Easy Positive Sampling

Metric learning seeks perceptual embeddings where visually similar insta...

Elad Levi, et al. ∙

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