Workshop

Shared Visual Representations in Human and Machine Intelligence (SVRHM)

Arturo Deza · Joshua Peterson · N Apurva Ratan Murty · Tom Griffiths

Project Page [ Contact: svrhm2022@gmail.com ]

Video

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Schedule

Timezone: America/Los_Angeles

6:45 AM

Welcome + Opening Remarks Opening Remarks and Stats

N Apurva Ratan Murty

Video

7:00 AM

The bandwidth of perceptual awareness is constrained by specific high-level visual features Invited Oral

Michael Cohen

Video

7:10 AM

Learning to Look by Self-Prediction Invited Oral

Matthew Grimes

Video

7:20 AM

Do deep neural networks explain how humans represent scenes? Talk

Iris Groen

Video

7:40 AM

Gestalt grouping cues for understanding complex scenes: evidence from psychophysics, neuroscience, and computer vision Talk

Dirk Bernhardt-Walther

Video

8:00 AM

Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples Talk

Josue Ortega Caro

Video

8:20 AM

Using machines to test ‘why’ human face perception works the way it does Talk

Katharina Dobs

Video

8:40 AM

Kate Storrs Talk

Video

9:00 AM

Lunch Break + Poster Session 1 Lunch Break + Poster Session 1

10:00 AM

Top-down effects in an early visual cortex inspired hierarchical Variational Autoencoder Talk

Balázs Meszéna

Video

10:10 AM

Predictive Dynamics Improve Noise Robustness in a Deep Network Model of the Human Auditory System Talk

Ching Fang

Video

10:20 AM

The Perceptual Primacy of Feeling: Affectless machine vision models explain the majority of variance in visually evoked affect and aesthetics Talk

Colin Conwell

Video

10:40 AM

Generative Collage and its Sticky Questions on Human-AI Co-Creativity Talk

Piotr Mirowski

Video

11:00 AM

Line Drawings as Communication Talk

Phillip Isola

Video

11:20 AM

Tangible Abstractions Talk

Tom White

Video

11:40 AM

A computational model predicts humans' aesthetic judgments based on deep neural network feature values Talk

Aenne Brielmann

Video

12:00 PM

Margaret Livingstone Keynote

Video

1:00 PM

Break + Poster Session 2 Break + Poster Session 2

2:00 PM

A report on recent experimental tests of two predictions of contemporary computable models of the biological deep neural network underling primate visual intelligence Quest Innaugural Talk

James J DiCarlo

Video

2:30 PM

Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams Talk

Dawn Finzi

Video

2:40 PM

Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Talk

Tal Golan · Wenxuan Guo

Video

2:50 PM

Evaluating neural network models of vision and audition with model metamers Talk

Jenelle Feather

Video

3:10 PM

Complimenting Learning Systems supporting 3D object perception Talk

tyler bonnen

Video

3:30 PM

What's the endgame of neuroAI? Talk

Patrick Mineault

Video

3:50 PM

Closing Remarks, Award Ceremony and Reception Closing Remarks, Award Ceremony and Reception

Arturo Deza

Video

Exploring the perceptual straightness of adversarially robust and biologically-inspired visual representations Poster

Anne Harrington · Vasha DuTell · Ayush Tewari · Mark Hamilton · Simon Stent · Ruth Rosenholtz · Bill Freeman

Link

Image-computable Bayesian model for 3D motion estimation with natural stimuli explains human biases Poster

Daniel Herrera-Esposito · Johannes Burge

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Deep tensor factorization models of first impressions Poster

Yangyang Yu · Jordan Suchow

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Measuring the Alignment of ANNs and Primate V1 on Luminance and Contrast Response Characteristics Poster

Stephanie Olaiya · Tiago Marques · James J DiCarlo

Link

The emergence of visual simulation in task-optimized recurrent neural networks Poster

Alekh Karkada Ashok · Lakshmi Narasimhan Govindarajan · Drew Linsley · David Sheinberg · Thomas Serre

Link

Predictive Dynamics Improve Noise Robustness in a Deep Network Model of the Human Auditory System Oral

Ching Fang · Erica Shook · Justin Buck · Guillermo Horga

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Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses Poster

Jacob Granley · Alexander Riedel

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Implementing Divisive Normalization in CNNs Improves Robustness to Common Image Corruptions Poster

Andrew Cirincione · Reginald Verrier · Artiom Bic · Stephanie Olaiya · James J DiCarlo · Lawrence Udeigwe · Tiago Marques

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Towards Disentangling the Roles of Vision & Language in Aesthetic Experience with Multimodal DNNs Poster

Colin Conwell · Christopher Hamblin

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Fast temporal decoding from large-scale neural recordings in monkey visual cortex Poster

Jerome Hadorn · Zuowen Wang · Bodo Rueckauer · Xing Chen · Pieter Roelfsema · Shih-Chii Liu

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Local Geometry Constraints in V1 with Deep Recurrent Autoencoders Poster

Jonathan Huml · Demba Ba

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The bandwidth of perceptual awareness is constrained by specific high-level visual features Oral

Michael Cohen · Kirsten Lydic · N Apurva Ratan Murty

Link

How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition? Poster

Emin Orhan

Link

How do humans and machine learning models track multiple objects through occlusion? Poster

Benjamin Peters · Eivinas Butkus · Nikolaus Kriegeskorte

Link

Workshop version: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time Poster

David Mayo · Jesse Cummings · Xinyu Lin · Dan Gutfreund · Boris Katz · Andrei Barbu

Link

Redundancy and dependency in brain activities Poster

Sikun Lin · Thomas Sprague · Ambuj K Singh

Link

System identification of neural systems: If we got it right, would we know? Poster

Yena Han · Tomaso Poggio · Brian Cheung

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Cultural alignment of machine-vision representations Poster

Necdet Gurkan · Jordan Suchow

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Generalized Predictive Coding: Bayesian Inference in Static and Dynamic models Poster

André Ofner · Beren Millidge · Sebastian Stober

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Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units Poster

Marliawaty I Gusti Bagus · Tiago Marques · Sachi Sanghavi · James J DiCarlo · Martin Schrimpf

Link

Teacher-generated pseudo human spatial-attention labels boost contrastive learning models Poster

Yushi Yao · Chang Ye · Junfeng He · Gamaleldin Elsayed

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Model Stitching: Looking For Functional Similarity Between Representations Poster

Adriano Hernandez · Rumen Dangovski · Peter Y. Lu

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Cortical Transformers: Robustness and Model Compression with Multi-Scale Connectivity Properties of the Neocortex. Poster

Brian Robinson · Nathan Drenkow

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Probing Representations of Numbers in Vision and Language Models Poster

Ivana Kajic · Aida Nematzadeh

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Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams Oral

Dawn Finzi · Eshed Margalit · Kendrick Kay · Dan Yamins · Kalanit Grill-Spector

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Volumetric Neural Human for Robust Pose Optimization via Analysis-by-synthesis Poster

Pengliang Ji · Angtian Wang · Yi Zhang · Adam Kortylewski · Alan Yuille

Link

What does an Adversarial Color look like? Poster

John Chin · Arturo Deza

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Reconstruction-guided attention improves the robustness and shape processing of neural networks Poster

Seoyoung Ahn · Hossein Adeli · Greg Zelinsky

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Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Poster

Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang

Link

Exploring the role of image domain in self-supervised DNN models of rodent brains Poster

Aaditya Prasad · Uri Manor · Talmo Pereira

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Top-down effects in an early visual cortex inspired hierarchical Variational Autoencoder Oral

Ferenc Csikor · Balázs Meszéna · Bence Szabó · Gergo Orban

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Comparing Intuitions about Agents’ Goals, Preferences and Actions in Human Infants and Video Transformers Poster

Alice Hein · Klaus Diepold

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Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 Poster

William Berrios · Arturo Deza

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Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Oral

Tal Golan · Wenxuan Guo · Heiko Schütt · Nikolaus Kriegeskorte

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Human alignment of neural network representations Poster

Lukas Muttenthaler · Lorenz Linhardt · Jonas Dippel · Robert Vandermeulen · Simon Kornblith

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Learning to Look by Self-Prediction Oral

Matthew Grimes · Joseph Modayil · Piotr Mirowski · Dushyant Rao · Raia Hadsell

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Enforcing Object Permanence using Hierarchical Object-Centric Generative Models Poster

Toon Van de Maele · Stefano Ferraro · Tim Verbelen · Bart Dhoedt

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Adding neuroplasticity to a CNN-based in-silico model of neurodegeneration Poster

Jasmine Moore · Matthias Wilms · Kayson Fakhar · Fatemeh Hadaeghi · Claus Hilgetag · Nils Daniel Forkert

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