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09/07/2023
A Function Interpretation Benchmark for Evaluating Interpretability Methods
Labeling neural network submodules with human-legible descriptions is us...
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08/10/2023
Follow Anything: Open-set detection, tracking, and following in real-time
Tracking and following objects of interest is critical to several roboti...
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08/03/2023
Multimodal Neurons in Pretrained Text-Only Transformers
Language models demonstrate remarkable capacity to generalize representa...
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07/14/2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
In this work, we introduce a self-supervised feature representation lear...
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06/08/2023
Background Prompting for Improved Object Depth
Estimating the depth of objects from a single image is a valuable task f...
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06/08/2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Text-to-image generative models have enabled high-resolution image synth...
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05/23/2023
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Large language models (LLMs) have demonstrated remarkable capabilities i...
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05/02/2023
Generalizing Dataset Distillation via Deep Generative Prior
Dataset Distillation aims to distill an entire dataset's knowledge into ...
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04/22/2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Given a visual scene, humans have strong intuitions about how a scene ca...
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04/19/2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Automatically generating high-quality real world 3D scenes is of enormou...
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04/03/2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
In goal-reaching reinforcement learning (RL), the optimal value function...
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03/29/2023
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos
Modeling sounds emitted from physical object interactions is critical fo...
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03/21/2023
Detecting Everything in the Open World: Towards Universal Object Detection
In this paper, we formally address universal object detection, which aim...
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03/20/2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation
Open-vocabulary image segmentation is attracting increasing attention du...
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02/14/2023
ConceptFusion: Open-set Multimodal 3D Mapping
Building 3D maps of the environment is central to robot navigation, plan...
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01/31/2023
Debiasing Vision-Language Models via Biased Prompts
Machine learning models have been shown to inherit biases from their tra...
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01/12/2023
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
In this work, we study how to build socially intelligent robots to assis...
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12/22/2022
Aliasing is a Driver of Adversarial Attacks
Aliasing is a highly important concept in signal processing, as careful ...
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11/29/2022
Procedural Image Programs for Representation Learning
Learning image representations using synthetic data allows training neur...
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11/08/2022
BT^2: Backward-compatible Training with Basis Transformation
Modern retrieval system often requires recomputing the representation of...
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10/20/2022
Composing Ensembles of Pre-trained Models via Iterative Consensus
Large pre-trained models exhibit distinct and complementary capabilities...
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09/26/2022
Totems: Physical Objects for Verifying Visual Integrity
We introduce a new approach to image forensics: placing physical refract...
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07/07/2022
Finding Fallen Objects Via Asynchronous Audio-Visual Integration
The way an object looks and sounds provide complementary reflections of ...
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07/06/2022
Local Relighting of Real Scenes
We introduce the task of local relighting, which changes a photograph of...
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06/30/2022
Denoised MDPs: Learning World Models Better Than the World Itself
The ability to separate signal from noise, and reason with clean abstrac...
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06/16/2022
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry
Recovering the spatial layout of the cameras and the geometry of the sce...
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06/15/2022
Disentangling visual and written concepts in CLIP
The CLIP network measures the similarity between natural text and images...
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06/06/2022
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Modern image generative models show remarkable sample quality when train...
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06/03/2022
Compositional Visual Generation with Composable Diffusion Models
Large text-guided diffusion models, such as DALLE-2, are able to generat...
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05/05/2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
This paper studies the problem of fixing malfunctional 3D objects. While...
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05/02/2022
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Objects' motions in nature are governed by complex interactions and thei...
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04/11/2022
Correcting Robot Plans with Natural Language Feedback
When humans design cost or goal specifications for robots, they often pr...
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04/04/2022
Learning Neural Acoustic Fields
Our environment is filled with rich and dynamic acoustic information. Wh...
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03/30/2022
Learning Program Representations for Food Images and Cooking Recipes
In this paper, we are interested in modeling a how-to instructional proc...
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03/22/2022
Dataset Distillation by Matching Training Trajectories
Dataset distillation is the task of synthesizing a small dataset such th...
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02/03/2022
Pre-Trained Language Models for Interactive Decision-Making
Language model (LM) pre-training has proven useful for a wide variety of...
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01/26/2022
Natural Language Descriptions of Deep Visual Features
Some neurons in deep networks specialize in recognizing highly specific ...
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01/12/2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Annotating images with pixel-wise labels is a time-consuming and costly ...
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01/12/2022
Robust Contrastive Learning against Noisy Views
Contrastive learning relies on an assumption that positive pairs contain...
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01/11/2022
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents
Natural disasters, such as floods, tornadoes, or wildfires, are increasi...
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12/09/2021
GAN-Supervised Dense Visual Alignment
We propose GAN-Supervised Learning, a framework for learning discriminat...
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12/09/2021
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
A critical aspect of human visual perception is the ability to parse vis...
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12/02/2021
Editing a classifier by rewriting its prediction rules
We present a methodology for modifying the behavior of a classifier by d...
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11/17/2021
Learning to Compose Visual Relations
The visual world around us can be described as a structured set of objec...
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11/04/2021
EditGAN: High-Precision Semantic Image Editing
Generative adversarial networks (GANs) have recently found applications ...
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10/13/2021
OPEn: An Open-ended Physics Environment for Learning Without a Task
Humans have mental models that allow them to plan, experiment, and reaso...
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10/08/2021
Toward a Visual Concept Vocabulary for GAN Latent Space
A large body of recent work has identified transformations in the latent...
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10/07/2021
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
We introduce the task of weakly supervised learning for detecting human ...
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10/05/2021
Scaling up instance annotation via label propagation
Manually annotating object segmentation masks is very time-consuming. Wh...
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10/04/2021
