Thurber + Tomine; Hairy Who; Drawing Center; Adversarial Elephant Networks


Matthew Thurber
Adrian Tomine

ADRIAN TOMINE: Comics Work (2004-2014)
October 4 – November 11, 2018
104 E. 81st Street, NYC


Hairy Who? 1966-1969
The Art Institute of Chicago
Through January 6, 2019

Although the Hairy Who chose to exhibit together, they were six individuals with their own personal, chiefly figurative vocabularies. They each radically manipulated source material collected from everyday life—including advertisements, comics, posters, and sales catalogs—with technical virtuosity. Their sense of humor embraced idiosyncrasy and spontaneity with wordplay, puns, and inside jokes that often belied the transgressiveness of their subject matter. Ambiguous, provocative, but also strategic, their work transmitted progressive ideas that challenged prevailing notions of gender and sexuality, social mores and standards of beauty, and nostalgia and obsolescence.

Jim Falconer, Art Green, Gladys Nilsson, Jim Nutt, Suellen Rocca, and Karl Wirsum. Hairy Who, 1966


Opening Reception: Thursday, October 11, 6–8pm
The Drawing Center | 35 Wooster Street

For Opacity: Elijah Burgher, Toyin Ojih Odutola, and Nathaniel Mary Quinn; Jennifer Wynne Reeves: All Right for Now; a… is alter(ed): Open Sessions 12

Dufala Brothers, Tic Tac Toe, 2015, video, 22:05 minutes.

a… is alter(ed): Open Sessions 12 explores the imaginative determination of “drawing” and “line” by relating it to a development process, social artifacts, psychological trace, and prosthetic memory—journals, maps, technology, and calendars. The poetics of flow between known and unknown is a feedback murmur that leads to clarity when engaging the object. a..is alter(ed) features Joeun Aatchim, Kenseth Armstead, Ludovica Carbotta, Billy and Steven Dufala, LaMont Hamilton, and Ester Partegàs. Organized Rosario Güiraldes and and Lisa Sigal, Open Sessions Curators, together with participating artists.


Detecting an elephant in a room.
Via Amir Rosenfeld, Richard Zemel, and John K. Tsotsos

We showcase a family of common failures of state-of-the
art object detectors. These are obtained by replacing image
sub-regions by another sub-image that contains a trained
object. We call this “object transplanting”. Modifying an
image in this manner is shown to have a non-local impact
on object detection. Slight changes in object position can
affect its identity according to an object detector as well
as that of other objects in the image. We provide some
analysis and suggest possible reasons for the reported

10-02-2018 – by Niall Breen

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